Download or read book High Performance and Energy Efficient Multi core Systems for DSP Applications written by Zhiyi Yu and published by . This book was released on 2007 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Energy efficient Computing with Fine grained Many core Systems written by Bin Liu and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: For the past half century, Moore's Law has been the fundamental driver of high-performance computing. The continued CMOS technology scaling doubles the transistor density of VLSI systems and had provided a predictable 40% performance improvement of single-core processors for every 18 to 24 months. However, as Dennard Scaling ends, the era of scaling frequency and performance without increasing power density is over. Since 2005, the semiconductor industry shifted to multi-core and many-core processors in order to sustain the proportional scaling of performance along with transistor count increases. One of the critical challenges for many-core system design is to reduce the power dissipation and improve the energy efficiency of the chip. Researchers are eager to seek innovative low power architectures and techniques to relieve the ``dark silicon" problem and effectively convert transistors to performance. To demonstrate that many-core processors with network-on-chip interconnects is a promising architecture for high-performance energy-efficient computing, 16 Advanced Encryption Standard (AES) engines are proposed on a fine-grained many-core system by exploring different granularities of data-level and task-level parallelism. The smallest design utilizes only six cores for offline key expansion and eight cores for online key expansion, while the largest requires 107 cores and 137 cores, respectively. In comparison with published AES cipher implementations on general purpose processors, the designs have has 3.5--15.6 times higher throughput per unit of chip area and 8.2--18.1 times higher energy efficiency. Moreover, the design shows 2.0 times higher throughput than the TI DSP C6201, and 3.3 times higher throughput per unit of chip area and 2.9 times higher energy efficiency than the GeForce 8800 GTX. Next, a scalable joint local and global dynamic voltage and frequency scaling (DVFS) scheme is proposed to further improve the energy efficiency for many-core systems by monitoring on-line workload variations. The local algorithms selects the voltage and frequency pair for each individual core based on its FIFO occupancy and stall information, while the global algorithm tunes the global voltage supplies based on the workload of all active processors. To demonstrate the effectiveness of the proposed solution, a suite of benchmarks are tested on a many-core globally asynchronous locally synchronous (GALS) platform. The experiment results show that the proposed approach can achieve near-optimal power saving under performance constraints. Different local algorithms are compared in terms of power saving, voltage switching frequency and response delay to workload variation. The impact of the number of voltage supplies and global voltage tuning resolution on the global algorithm is also investigated. To further improve the energy efficiency beyond traditional DVFS, core scaling is proposed by introducing an extra dimension beyond supply voltage and clock frequency scaling. This dissertation addresses the problem of minimizing the power dissipation of many-core systems under performance constraints by choosing an appropriate number of active cores and per-core voltage/frequency levels. A genetic algorithm based solution is proposed to solve the problem. Experiments with real applications show that (1) dynamically scaling the number of active cores can improve the energy efficiency by 5% to 42% compared with per-core DVFS for different performance requirements; (2) core scaling favors systems with more global voltage supplies and high-performance leaky process when the performance requirement is loose, while it favors systems with fewer global voltage supplies and low-power less-leaky process when the performance requirement is tight; (3) increasing the number of global voltage supplies or leakage ratio can reduce the optimal core count by 22% and 50%, respectively.

Download or read book Energy efficient Fine grained Many core Architecture for Video and DSP Applications written by Zhibin Xiao and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Many-core processor architecture has become the most promising computer architecture. However, how to utilize the extra system performance for real applications such as video encoding is still challenging. This dissertation investigates architecture design, physical implementation and performance evaluation of a fine-grained many-core processor for advanced video coding with a focus on interconnection, topology, memory system and related parallel programming methodology. A baseline residual encoder for H.264/AVC on a current generation fine-grained many-core system is proposed that utilizes no application-specific hardware. The 25-processor encoder encodes video sequences with variable frame sizes and can encode 1080p HDTV at 30 frames per second with 293 mW average power consumption by adjusting each processor to workload-based optimal clock frequencies and dual supply voltages---a 38.4% power reduction compared to operation with only one clock frequency and supply voltage. In comparison to published implementations on the TI C642 DSP platform, the design has approximately 2.9--3.7 times higher scaled throughput, 11.2--15.0 times higher throughput per chip area, and 4.5--5.8 times lower energy per pixel. Compared to a heterogeneous SIMD architecture customized for H.264, the presented design has 2.8--3.6 times greater throughput, 4.5--5.9 times higher area efficiency, and similar energy efficiency. Next, this dissertation proposes novel processor shapes and inter-connection topologies for many-core processor arrays which result in an overall application processor that requires fewer cores and has a lower total communication length. The proposed topologies compared to the commonly-used 2D mesh and include two 8-neighbor topologies, two 5-nearest-neighbor and three 6-nearest-neighbor topologies---three of which utilize 5-sided or hexagonal processor tiles. A 1080p H.264/AVC residual video encoder and a complete 54 Mbps 802.11a/11g wireless LAN baseband receiver are mapped onto all topologies and compared. The methodology to implement an array of hexagonal-shaped processor tiles with industry-standard CAD tools and automatic place and route flow is described. A 16-bit DSP processor tile is tailored for all proposed topologies and implemented at 65 nm CMOS technology without full-custom layout. Results show that the 6-neighbor hexagonal tile and the 6-neighbor rectangular tile incur a 2.9% area increase per tile compared to the 4-neighbor 2D mesh, but their much more effective inter-processor interconnect yields an average total application area reduction of 21% and a total application inter-processor communication distance reduction of 19%. Motivated by the fact that video encoding tasks normally read and write a block of data at one time in one transaction, the third part of this dissertation proposes a novel source synchronous bufferless shared memory to enable safe memory sharing among multiple processors with different clock domains. Compared with the previous FIFO buffered memory design, the bufferless memory module achieves lower latency, higher throughput, lower area overhead and lower power consumption. The bufferless memory module also supports direct communication with far-away processors through the existing processor-processor circuit switch interconnection network. The implementation results show that a 16 KB bufferless memory module reduces 58% single memory access latency and has higher burst-mode throughput (1%) compared to the 16 KB buffered memory module. The bufferless memory module also reduces the area overhead from 63% to 17% compared with buffered memory module, which yields a power reduction by 43%.

Download or read book Efficient Compilation for Application Specific Instruction set DSP Processors with Multi bank Memories written by Joar Sohl and published by Linköping University Electronic Press. This book was released on 2015-01-29 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern signal processing systems require more and more processing capacity as times goes on. Previously, large increases in speed and power efficiency have come from process technology improvements. However, lately the gain from process improvements have been greatly reduced. Currently, the way forward for high-performance systems is to use specialized hardware and/or parallel designs. Application Specific Integrated Circuits (ASICs) have long been used to accelerate the processing of tasks that are too computationally heavy for more general processors. The problem with ASICs is that they are costly to develop and verify, and the product life time can be limited with newer standards. Since they are very specific the applicable domain is very narrow. More general processors are more flexible and can easily adapt to perform the functions of ASIC based designs. However, the generality comes with a performance cost that renders general designs unusable for some tasks. The question then becomes, how general can a processor be while still being power efficient and fast enough for some particular domain? Application Specific Instruction set Processors (ASIPs) are processors that target a specific application domain, and can offer enough performance with power efficiency and silicon cost that is comparable to ASICs. The flexibility allows for the same hardware design to be used over several system designs, and also for multiple functions in the same system, if some functions are not used simultaneously. One problem with ASIPs is that they are more difficult to program than a general purpose processor, given that we want efficient software. Utilizing all of the features that give an ASIP its performance advantage can be difficult at times, and new tools and methods for programming them are needed. This thesis will present ePUMA (embedded Parallel DSP platform with Unique Memory Access), an ASIP architecture that targets algorithms with predictable data access. These kinds of algorithms are very common in e.g. baseband processing or multimedia applications. The primary focus will be on the specific features of ePUMA that are utilized to achieve high performance, and how it is possible to automatically utilize them using tools. The most significant features include data permutation for conflict-free data access, and utilization of address generation features for overhead free code execution. This sometimes requires specific information; for example the exact sequences of addresses in memory that are accessed, or that some operations may be performed in parallel. This is not always available when writing code using the traditional way with traditional languages, e.g. C, as extracting this information is still a very active research topic. In the near future at least, the way that software is written needs to change to exploit all hardware features, but in many cases in a positive way. Often the problem with current methods is that code is overly specific, and that a more general abstractions are actually easier to generate code from.

Download or read book Handbook of Signal Processing Systems written by Shuvra S. Bhattacharyya and published by Springer Science & Business Media. This book was released on 2010-09-10 with total page 1099 pages. Available in PDF, EPUB and Kindle. Book excerpt: It gives me immense pleasure to introduce this timely handbook to the research/- velopment communities in the ?eld of signal processing systems (SPS). This is the ?rst of its kind and represents state-of-the-arts coverage of research in this ?eld. The driving force behind information technologies (IT) hinges critically upon the major advances in both component integration and system integration. The major breakthrough for the former is undoubtedly the invention of IC in the 50’s by Jack S. Kilby, the Nobel Prize Laureate in Physics 2000. In an integrated circuit, all components were made of the same semiconductor material. Beginning with the pocket calculator in 1964, there have been many increasingly complex applications followed. In fact, processing gates and memory storage on a chip have since then grown at an exponential rate, following Moore’s Law. (Moore himself admitted that Moore’s Law had turned out to be more accurate, longer lasting and deeper in impact than he ever imagined. ) With greater device integration, various signal processing systems have been realized for many killer IT applications. Further breakthroughs in computer sciences and Internet technologies have also catalyzed large-scale system integration. All these have led to today’s IT revolution which has profound impacts on our lifestyle and overall prospect of humanity. (It is hard to imagine life today without mobiles or Internets!) The success of SPS requires a well-concerted integrated approach from mul- ple disciplines, such as device, design, and application.

Download or read book Multi Core Embedded Systems written by Georgios Kornaros and published by CRC Press. This book was released on 2018-10-08 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Details a real-world product that applies a cutting-edge multi-core architecture Increasingly demanding modern applications—such as those used in telecommunications networking and real-time processing of audio, video, and multimedia streams—require multiple processors to achieve computational performance at the rate of a few giga-operations per second. This necessity for speed and manageable power consumption makes it likely that the next generation of embedded processing systems will include hundreds of cores, while being increasingly programmable, blending processors and configurable hardware in a power-efficient manner. Multi-Core Embedded Systems presents a variety of perspectives that elucidate the technical challenges associated with such increased integration of homogeneous (processors) and heterogeneous multiple cores. It offers an analysis that industry engineers and professionals will need to understand the physical details of both software and hardware in embedded architectures, as well as their limitations and potential for future growth. Discusses the available programming models spread across different abstraction levels The book begins with an overview of the evolution of multiprocessor architectures for embedded applications and discusses techniques for autonomous power management of system-level parameters. It addresses the use of existing open-source (and free) tools originating from several application domains—such as traffic modeling, graph theory, parallel computing and network simulation. In addition, the authors cover other important topics associated with multi-core embedded systems, such as: Architectures and interconnects Embedded design methodologies Mapping of applications

Download or read book Efficient Execution of Sequential Applications on Multicore Systems written by Behnam Robatmili and published by . This book was released on 2011 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conventional CMOS scaling has been the engine of the technology revolution in most application domains. This trend has changed as in each technology generation, transistor densities continue to increase while due to the limits on threshold voltage scaling, per-transistor energy consumption decreases much more slowly than in the past. The power scaling issues will restrict the adaptability of designs to operate in different power and performance regimes. Consequently, future systems must employ more efficient architectures for optimizing every thread in the program across different power and performance regimes, rather than architectures that utilize more transistors. One solution is composable or dynamic multicore architectures that can span a wide range of energy/performance operating points by enabling multiple simple cores to compose to form a larger and more powerful core. Explicit Data Graph Execution (EDGE) architectures represent a highly scalable class of composable processors that exploit predicated dataflow block execution and distributed microarchitectures. However, prior EDGE architectures suffer from several energy and performance bottlenecks including expensive intra-block operand communication due to fine-grain instruction distribution among cores, the compiler-generated fanout trees built for high-fanout operand delivery, poor next-block prediction accuracy, and low speculation rates due to predicates and expensive refills after pipeline flushes. To design an energy-efficient and flexible dynamic multicore, this dissertation employs a systematic methodology that detects inefficiencies and then designs and evaluates solutions that maximize power and performance efficiency across different power and performance regimes. Some innovations and optimization techniques include: (a) Deep Block Mapping extracts more coarse-grained parallelism and reduces cross-core operand network traffic by mapping each block of instructions into the instruction queue of one core instead of distributing blocks across all composed cores as done in previous EDGE designs, (b) Iterative Path Predictor (IPP) reduces branch and predication overheads by unifying multi-exit block target prediction and predicate path prediction while providing improved accuracy for each, (c) Register Bypassing reduces cross-core register communication delays by bypassing register values predicted to be critical directly from producing to consuming cores, (d) Block Reissue reduces pipeline flush penalties by reissuing instructions in previously executed instances of blocks while they are still in the instruction queue, and (e) Exposed Operand Broadcasts (EOBs) reduce wide-fanout instruction overheads by extending the ISA to employ architecturally exposed low-overhead broadcasts combined with dataflow for efficient operand delivery for both high- and low-fanout instructions. These components form the basis for a third-generation EDGE microarchitecture called T3. T3 improves energy efficiency by about 2x and performance by 47% compared to previous EDGE architectures. T3 also performs in a highly power efficient manner across a wide spectrum of energy and performance operating points (low-power to high-performance), extending the domain of power/performance trade-offs beyond what dynamic voltage and frequency scaling offers on state-of-the-art conventional processors. This high level of flexibility and power efficiency makes T3 an attractive candidate for future systems which need to operate on a wide range of workloads under varying power and performance constraints.

Download or read book Reliable and Energy Efficient Streaming Multiprocessor Systems written by Anup Kumar Das and published by Springer. This book was released on 2018-01-03 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses analysis, design and optimization techniques for streaming multiprocessor systems, while satisfying a given area, performance, and energy budget. The authors describe design flows for both application-specific and general purpose streaming systems. Coverage also includes the use of machine learning for thermal optimization at run-time, when an application is being executed. The design flow described in this book extends to thermal and energy optimization with multiple applications running sequentially and concurrently.

Download or read book Evaluation of Dynamic Voltage and Frequency Scaling Techniques for Designing Energy Efficient Multi core Systems written by Rajath Kumar Shantharam Hegde and published by . This book was released on 2012 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multicore DSP written by Naim Dahnoun and published by John Wiley & Sons. This book was released on 2018-02-12 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: The only book to offer special coverage of the fundamentals of multicore DSP for implementation on the TMS320C66xx SoC This unique book provides readers with an understanding of the TMS320C66xx SoC as well as its constraints. It offers critical analysis of each element, which not only broadens their knowledge of the subject, but aids them in gaining a better understanding of how these elements work so well together. Written by Texas Instruments’ First DSP Educator Award winner, Naim Dahnoun, the book teaches readers how to use the development tools, take advantage of the maximum performance and functionality of this processor and have an understanding of the rich content which spans from architecture, development tools and programming models, such as OpenCL and OpenMP, to debugging tools. It also covers various multicore audio and image applications in detail. Additionally, this one-of-a-kind book is supplemented with: A rich set of tested laboratory exercises and solutions Audio and Image processing applications source code for the Code Composer Studio (integrated development environment from Texas Instruments) Multiple tables and illustrations With no other book on the market offering any coverage at all on the subject and its rich content with twenty chapters, Multicore DSP: From Algorithms to Real-time Implementation on the TMS320C66x SoC is a rare and much-needed source of information for undergraduates and postgraduates in the field that allows them to make real-time applications work in a relatively short period of time. It is also incredibly beneficial to hardware and software engineers involved in programming real-time embedded systems.

Download or read book CMOS Processors and Memories written by Krzysztof Iniewski and published by Springer Science & Business Media. This book was released on 2010-08-09 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: CMOS Processors and Memories addresses the-state-of-the-art in integrated circuit design in the context of emerging computing systems. New design opportunities in memories and processor are discussed. Emerging materials that can take system performance beyond standard CMOS, like carbon nanotubes, graphene, ferroelectrics and tunnel junctions are explored. CMOS Processors and Memories is divided into two parts: processors and memories. In the first part we start with high performance, low power processor design, followed by a chapter on multi-core processing. They both represent state-of-the-art concepts in current computing industry. The third chapter deals with asynchronous design that still carries lots of promise for future computing needs. At the end we present a “hardware design space exploration” methodology for implementing and analyzing the hardware for the Bayesian inference framework. This particular methodology involves: analyzing the computational cost and exploring candidate hardware components, proposing various custom architectures using both traditional CMOS and hybrid nanotechnology CMOL. The first part concludes with hybrid CMOS-Nano architectures. The second, memory part covers state-of-the-art SRAM, DRAM, and flash memories as well as emerging device concepts. Semiconductor memory is a good example of the full custom design that applies various analog and logic circuits to utilize the memory cell’s device physics. Critical physical effects that include tunneling, hot electron injection, charge trapping (Flash memory) are discussed in detail. Emerging memories like FRAM, PRAM and ReRAM that depend on magnetization, electron spin alignment, ferroelectric effect, built-in potential well, quantum effects, and thermal melting are also described. CMOS Processors and Memories is a must for anyone serious about circuit design for future computing technologies. The book is written by top notch international experts in industry and academia. It can be used in graduate course curriculum.

Download or read book Advanced Multicore Systems On Chip written by Abderazek Ben Abdallah and published by Springer. This book was released on 2017-09-10 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: From basic architecture, interconnection, and parallelization to power optimization, this book provides a comprehensive description of emerging multicore systems-on-chip (MCSoCs) hardware and software design. Highlighting both fundamentals and advanced software and hardware design, it can serve as a primary textbook for advanced courses in MCSoCs design and embedded systems. The first three chapters introduce MCSoCs architectures, present design challenges and conventional design methods, and describe in detail the main building blocks of MCSoCs. Chapters 4, 5, and 6 discuss fundamental and advanced on-chip interconnection network technologies for multi and many core SoCs, enabling readers to understand the microarchitectures for on-chip routers and network interfaces that are essential in the context of latency, area, and power constraints. With the rise of multicore and many-core systems, concurrency is becoming a major issue in the daily life of a programmer. Thus, compiler and software development tools are critical in helping programmers create high-performance software. Programmers should make sure that their parallelized program codes will not cause race condition, memory-access deadlocks, or other faults that may crash their entire systems. As such, Chapter 7 describes a novel parallelizing compiler design for high-performance computing. Chapter 8 provides a detailed investigation of power reduction techniques for MCSoCs at component and network levels. It discusses energy conservation in general hardware design, and also in embedded multicore system components, such as CPUs, disks, displays and memories. Lastly, Chapter 9 presents a real embedded MCSoCs system design targeted for health monitoring in the elderly.

Download or read book FPGA based Implementation of Signal Processing Systems written by Roger Woods and published by John Wiley & Sons. This book was released on 2017-02-06 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important working resource for engineers and researchers involved in the design, development, and implementation of signal processing systems The last decade has seen a rapid expansion of the use of field programmable gate arrays (FPGAs) for a wide range of applications beyond traditional digital signal processing (DSP) systems. Written by a team of experts working at the leading edge of FPGA research and development, this second edition of FPGA-based Implementation of Signal Processing Systems has been extensively updated and revised to reflect the latest iterations of FPGA theory, applications, and technology. Written from a system-level perspective, it features expert discussions of contemporary methods and tools used in the design, optimization and implementation of DSP systems using programmable FPGA hardware. And it provides a wealth of practical insights—along with illustrative case studies and timely real-world examples—of critical concern to engineers working in the design and development of DSP systems for radio, telecommunications, audio-visual, and security applications, as well as bioinformatics, Big Data applications, and more. Inside you will find up-to-date coverage of: FPGA solutions for Big Data Applications, especially as they apply to huge data sets The use of ARM processors in FPGAs and the transfer of FPGAs towards heterogeneous computing platforms The evolution of High Level Synthesis tools—including new sections on Xilinx's HLS Vivado tool flow and Altera's OpenCL approach Developments in Graphical Processing Units (GPUs), which are rapidly replacing more traditional DSP systems FPGA-based Implementation of Signal Processing Systems, 2nd Edition is an indispensable guide for engineers and researchers involved in the design and development of both traditional and cutting-edge data and signal processing systems. Senior-level electrical and computer engineering graduates studying signal processing or digital signal processing also will find this volume of great interest.

Download or read book Advanced Intelligent Computing Theories and Applications written by De-Shuang Huang and published by Springer. This book was released on 2012-01-05 with total page 751 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Intelligent Computing, ICIC 2011, held in Zhengzhou, China, in August 2011. The 94 revised full papers presented were carefully reviewed and selected from 832 submissions. The papers are organized in topical sections on intelligent computing in scheduling; local feature descriptors for image processing and recognition; combinatorial and numerical optimization; machine learning theory and methods; intelligent control and automation; knowledge representation/reasoning and expert systems; intelligent computing in pattern recognition; intelligent computing in image processing; intelligent computing in computer vision; biometrics with applications to individual security/forensic sciences; modeling, theory, and applications of positive systems; sparse manifold learning methods and applications; advances in intelligent information processing.

Download or read book Application Configuration Selection for Energy efficient Execution on Multicore Systems written by and published by . This book was released on 2015 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Balanced performance and energy consumption are incorporated in the design of modern computer systems. Several runtime factors, such as concurrency levels, thread mapping strategies, and dynamic voltage and frequency scaling (DVFS) should be considered in order to achieve optimal energy efficiency fora workload. Selecting appropriate run-time factors, however, is one of the most challenging tasks because the run-time factors are architecture-specific and workload-specific. And while most existing works concentrate on either static analysis of the workload or run-time prediction results, we present a hybrid two-step method that utilizes concurrency levels and DVFS settings to achieve the energy efficiency configuration for a worldoad. The experimental results based on a Xeon E5620 server with NPB and PARSEC benchmark suites show that the model is able to predict the energy efficient configuration accurately. On average, an additional 10% EDP (Energy Delay Product) saving is obtained by using run-time DVFS for the entire system. An off-line optimal solution is used to compare with the proposed scheme. Finally, the experimental results show that the average extra EDP saved by the optimal solution is within 5% on selective parallel benchmarks.

Download or read book Fuzzy Logic Based Power Efficient Real Time Multi Core System written by Jameel Ahmed and published by Springer. This book was released on 2016-11-15 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on identifying the performance challenges involved in computer architectures, optimal configuration settings and analysing their impact on the performance of multi-core architectures. Proposing a power and throughput-aware fuzzy-logic-based reconfiguration for Multi-Processor Systems on Chip (MPSoCs) in both simulation and real-time environments, it is divided into two major parts. The first part deals with the simulation-based power and throughput-aware fuzzy logic reconfiguration for multi-core architectures, presenting the results of a detailed analysis on the factors impacting the power consumption and performance of MPSoCs. In turn, the second part highlights the real-time implementation of fuzzy-logic-based power-efficient reconfigurable multi-core architectures for Intel and Leone3 processors.

Download or read book Design of Energy Efficient Application Specific Instruction Set Processors written by Tilman Glökler and published by Springer Science & Business Media. This book was released on 2007-05-08 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: After a brief introduction to low-power VLSI design, the design space of ASIP instruction set architectures (ISAs) is introduced with a special focus on important features for digital signal processing. Based on the degrees of freedom offered by this design space, a consistent ASIP design flow is proposed: this design flow starts with a given application and uses incremental optimization of the ASIP hardware, of ASIP coprocessors and of the ASIP software by using a top-down approach and by applying application-specific modifications on all levels of design hierarchy. A broad range of real-world signal processing applications serves as vehicle to illustrate each design decision and provides a hands-on approach to ASIP design. Finally, two complete case studies demonstrate the feasibility and the efficiency of the proposed methodology and quantitatively evaluate the benefits of ASIPs in an industrial context.