Download or read book Resource Management in Single chip Multiprocessors written by Kelly A. Shaw and published by . This book was released on 2005 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Coordinated Multiple Resource Management in Chip Multiprocessors written by Ramazan Bitirgen and published by . This book was released on 2008 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Dynamic Resource Management for Energy efficiency and Quality of service in Chip Multiprocessors written by Yang Ding and published by . This book was released on 2010 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Resource Management for Efficient Single ISA Heterogeneous Computing written by Jian Chen (doctor of electrical and computer engineering.) and published by . This book was released on 2011 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Single-ISA heterogeneous multi-core processors (SHMP) have become increasingly important due to their potential to significantly improve the execution efficiency for diverse workloads and thereby alleviate the power density constraints in Chip Multiprocessors (CMP). The importance of SHMP is further underscored by the fact that manufacturing defects and process variation could also cause single-ISA heterogeneity in CMPs even though the CMP is originally designed as homogeneous. However, to fully exploit the execution efficiency that SHMP has to offer, programs have to be efficiently mapped/scheduled to the appropriate cores such that the hardware resources of the cores match the resource demands of the programs, which is challenging and remains an open problem. This dissertation presents a comprehensive set of off-line and on-line techniques that leverage analytical performance modeling to bridge the gap between the workload diversity and the hardware heterogeneity. For the off-line scenario, this dissertation presents an efficient resource demand analysis framework that can estimate the resource demands of a program based on the inherent characteristics of the program without using any detailed simulation. Based on the estimated resource demands, this dissertation further proposes a multi-dimensional program-core matching technique that projects program resource demands and core configurations to a unified multi-dimensional space, and uses the weighted Euclidean distance between these two to identify the matching program-core pair. This dissertation also presents a dynamic and predictive application scheduler for SHMPs. It uses a set of hardware-efficient online profilers and an analytical performance model to simultaneously predict the application's performance on different cores. Based on the predicted performance, the scheduler identifies and enforces near-optimal application assignment for each scheduling interval without any trial runs or off-line profiling. Using only a few kilo-bytes of extra hardware, the proposed heterogeneity-aware scheduler improves the weighted speedup by 11.3% compared with the commodity OpenSolaris scheduler and by 6.8% compared with the best known research scheduler. Finally, this dissertation presents a predictive yet cost effective mechanism to manage intra-core and/or inter-core resources in dynamic SHMP. It also uses a set of hardware-efficient online profilers and an analytical performance model to predict the application's performance with different resource allocations. Based on the predicted performance, the resource allocator identifies and enforces near optimum resource partitions for each epoch without any trial runs. The experimental results show that the proposed predictive resource management framework could improve the weighted speedup of the CMP system by an average of 11.6% compared with the equal partition scheme, and 9.3% compared with existing reactive resource management scheme.

Download or read book Multiprocessor System on Chip written by Michael Hübner and published by Springer Science & Business Media. This book was released on 2010-11-25 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to evaluate strategies for future system design in multiprocessor system-on-chip (MPSoC) architectures. Both hardware design and integration of new development tools will be discussed. Novel trends in MPSoC design, combined with reconfigurable architectures are a main topic of concern. The main emphasis is on architectures, design-flow, tool-development, applications and system design.

Download or read book Dependable Embedded Systems written by Jörg Henkel and published by Springer Nature. This book was released on 2020-12-09 with total page 606 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Open Access book introduces readers to many new techniques for enhancing and optimizing reliability in embedded systems, which have emerged particularly within the last five years. This book introduces the most prominent reliability concerns from today’s points of view and roughly recapitulates the progress in the community so far. Unlike other books that focus on a single abstraction level such circuit level or system level alone, the focus of this book is to deal with the different reliability challenges across different levels starting from the physical level all the way to the system level (cross-layer approaches). The book aims at demonstrating how new hardware/software co-design solution can be proposed to ef-fectively mitigate reliability degradation such as transistor aging, processor variation, temperature effects, soft errors, etc. Provides readers with latest insights into novel, cross-layer methods and models with respect to dependability of embedded systems; Describes cross-layer approaches that can leverage reliability through techniques that are pro-actively designed with respect to techniques at other layers; Explains run-time adaptation and concepts/means of self-organization, in order to achieve error resiliency in complex, future many core systems.

Download or read book Fair and High Performance Shared Memory Resource Management written by Eiman Ebrahimi and published by . This book was released on 2011 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chip multiprocessors (CMPs) commonly share a large portion of memory system resources among different cores. Since memory requests from different threads executing on different cores significantly interfere with one another in these shared resources, the design of the shared memory subsystem is crucial for achieving high performance and fairness. Inter-thread memory system interference has different implications based on the type of workload running on a CMP. In multi-programmed workloads, different applications can experience significantly different slowdowns. If left uncontrolled, large disparities in slowdowns result in low system performance and make system software's priority-based thread scheduling policies ineffective. In a single multi-threaded application, memory system interference between threads of the same application can slow each thread down significantly. Most importantly, the critical path of execution can also be significantly slowed down, resulting in increased application execution time. This dissertation proposes three mechanisms that address different shortcomings of current shared resource management techniques targeted at multi-programmed workloads, and one mechanism which speeds up a single multi-threaded application by managing main-memory related interference between its different threads. With multi-programmed workloads, the key idea is that both demand- and prefetch-caused inter-application interference should be taken into account in shared resource management techniques across the entire shared memory system. Our evaluations demonstrate that doing so significantly improves both system performance and fairness compared to the state-of-the-art. When executing a single multi-threaded application on a CMP, the key idea is to take into account the inter-dependence of threads in memory scheduling decisions. Our evaluation shows that doing so significantly reduces the execution time of the multi-threaded application compared to using state-of-the-art memory schedulers designed for multi-programmed workloads. This dissertation concludes that the performance and fairness of CMPs can be significantly improved by better management of inter-thread interference in the shared memory resources, both for multi-programmed workloads and multi-threaded applications.

Download or read book From Model Driven Design to Resource Management for Distributed Embedded Systems written by Bernd Kleinjohann and published by Springer. This book was released on 2007-01-29 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Model-Driven Design to Resource Management for Distributed Embedded Systems presents 16 original contributions and 12 invited papers presented at the Working Conference on Distributed and Parallel Embedded Systems - DIPES 2006, sponsored by the International Federation for Information Processing - IFIP. Coverage includes model-driven design, testing and evolution of embedded systems, timing analysis and predictability, scheduling, allocation, communication and resource management in distributed real-time systems.

Download or read book Algorithms and Architectures for Parallel Processing written by Sang-Soo Yeo and published by Springer Science & Business Media. This book was released on 2010-05-10 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the symposia and workshops of the 10th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP. Each of the sympois and workshops focuses on a particular theme and complements the spectrum of the main conference.

Download or read book Pipelined Multiprocessor System on Chip for Multimedia written by Haris Javaid and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes analytical models and estimation methods to enhance performance estimation of pipelined multiprocessor systems-on-chip (MPSoCs). A framework is introduced for both design-time and run-time optimizations. For design space exploration, several algorithms are presented to minimize the area footprint of a pipelined MPSoC under a latency or a throughput constraint. A novel adaptive pipelined MPSoC architecture is described, where idle processors are transitioned into low-power states at run-time to reduce energy consumption. Multi-mode pipelined MPSoCs are introduced, where multiple pipelined MPSoCs optimized separately are merged into a single pipelined MPSoC, enabling further reduction of the area footprint by sharing the processors and communication buffers. Readers will benefit from the authors’ combined use of analytical models, estimation methods and exploration algorithms and will be enabled to explore billions of design points in a few minutes.

Download or read book Multiprocessor Systems on Chips written by Ahmed Jerraya and published by Morgan Kaufmann. This book was released on 2005 with total page 604 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern system-on-chip (SoC) design shows a clear trend toward integration of multiple processor cores on a single chip. Designing a multiprocessor system-on-chip (MPSOC) requires an understanding of the various design styles and techniques used in the multiprocessor. Understanding the application area of the MPSOC is also critical to making proper tradeoffs and design decisions. Multiprocessor Systems-on-Chips covers both design techniques and applications for MPSOCs. Design topics include multiprocessor architectures, processors, operating systems, compilers, methodologies, and synthesis algorithms, and application areas covered include telecommunications and multimedia. The majority of the chapters were collected from presentations made at the International Workshop on Application-Specific Multi-Processor SoC held over the past two years. The workshop assembled internationally recognized speakers on the range of topics relevant to MPSOCs. After having refined their material at the workshop, the speakers are now writing chapters and the editors are fashioning them into a unified book by making connections between chapters and developing common terminology. *Examines several different architectures and the constraints imposed on them *Discusses scheduling, real-time operating systems, and compilers *Analyzes design trade-off and decisions in telecommunications and multimedia applications

Download or read book A Journey of Embedded and Cyber Physical Systems written by Jian-Jia Chen and published by Springer Nature. This book was released on 2020-07-30 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Open Access book celebrates Professor Peter Marwedel's outstanding achievements in compilers, embedded systems, and cyber-physical systems. The contributions in the book summarize the content of invited lectures given at the workshop “Embedded Systems” held at the Technical University Dortmund in early July 2019 in honor of Professor Marwedel's seventieth birthday. Provides a comprehensive view from leading researchers with respect to the past, present, and future of the design of embedded and cyber-physical systems; Discusses challenges and (potential) solutions from theoreticians and practitioners on modeling, design, analysis, and optimization for embedded and cyber-physical systems; Includes coverage of model verification, communication, software runtime systems, operating systems and real-time computing.

Download or read book Operating System level On chip Resource Management in the Multicore Era written by Xiao Zhang and published by . This book was released on 2010 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: "CPU manufactures are trending toward designs with multiple cores on a chip in order to continue to scale with technology. One common feature of these multicore chips is resource sharing among sibling cores that sit on the same chip, such as shared last level cache and memory bandwidth. Without careful management, such sharing could open a loophole in terms of performance, fairness, and security concerns. My dissertation addresses resource management issues on multicore chips at the operating system level. Specifically, I introduce three techniques to control resource usage and study a variety of resource management policies that consider fairness, quality of service, performance, or power. First, I propose a hot-page coloring approach that enforces cache partitioning on only a small set of frequently accessed (or hot) pages to segregate most interthread cache conflicts. Cache colors are allocated using miss ratio curves. The cost of identifying hot pages online is reduced by leveraging knowledge of spatial locality during a page table scan of access bits. Hotness-based page coloring greatly alleviates the disadvantages of naive page coloring (memory allocation constraint and recoloring overhead) in practice. Second, I demonstrate that resource-aware scheduling on multicore-based SMP platforms can mitigate resource contention. Resource-aware scheduling employs a simple heuristic that can be easily derived from hardware performance counters. By grouping applications with similar memory access behaviors, resource contention can be reduced and better overall system performance can be achieved. Aside from the benefits of reduced hardware resource contention, it also provides opportunities for CPU power savings and thermal reduction. Finally, I show how to reuse existing hardware features to control resource usage. I demonstrate it online a hardware execution throttling (e.g., volt- age/frequency scaling, duty-cycle modulation, and cache prefetcher adjustment) based framework to effectively control shared resource usage (regardless of resource type) on multicore chips."--Leaves v-vi.

Download or read book Chip Multiprocessor Architecture written by Kunle Olukotun and published by Morgan & Claypool Publishers. This book was released on 2007-12-01 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chip multiprocessors - also called multi-core microprocessors or CMPs for short - are now the only way to build high-performance microprocessors, for a variety of reasons. Large uniprocessors are no longer scaling in performance, because it is only possible to extract a limited amount of parallelism from a typical instruction stream using conventional superscalar instruction issue techniques. In addition, one cannot simply ratchet up the clock speed on today's processors, or the power dissipation will become prohibitive in all but water-cooled systems. Compounding these problems is the simple fact that with the immense numbers of transistors available on today's microprocessor chips, it is too costly to design and debug ever-larger processors every year or two. CMPs avoid these problems by filling up a processor die with multiple, relatively simpler processor cores instead of just one huge core. The exact size of a CMP's cores can vary from very simple pipelines to moderately complex superscalar processors, but once a core has been selected the CMP's performance can easily scale across silicon process generations simply by stamping down more copies of the hard-to-design, high-speed processor core in each successive chip generation. In addition, parallel code execution, obtained by spreading multiple threads of execution across the various cores, can achieve significantly higher performance than would be possible using only a single core. While parallel threads are already common in many useful workloads, there are still important workloads that are hard to divide into parallel threads. The low inter-processor communication latency between the cores in a CMP helps make a much wider range of applications viable candidates for parallel execution than was possible with conventional, multi-chip multiprocessors; nevertheless, limited parallelism in key applications is the main factor limiting acceptance of CMPs in some types of systems. After a discussion of the basic pros and cons of CMPs when they are compared with conventional uniprocessors, this book examines how CMPs can best be designed to handle two radically different kinds of workloads that are likely to be used with a CMP: highly parallel, throughput-sensitive applications at one end of the spectrum, and less parallel, latency-sensitive applications at the other. Throughput-sensitive applications, such as server workloads that handle many independent transactions at once, require careful balancing of all parts of a CMP that can limit throughput, such as the individual cores, on-chip cache memory, and off-chip memory interfaces. Several studies and example systems, such as the Sun Niagara, that examine the necessary tradeoffs are presented here. In contrast, latency-sensitive applications - many desktop applications fall into this category - require a focus on reducing inter-core communication latency and applying techniques to help programmers divide their programs into multiple threads as easily as possible. This book discusses many techniques that can be used in CMPs to simplify parallel programming, with an emphasis on research directions proposed at Stanford University. To illustrate the advantages possible with a CMP using a couple of solid examples, extra focus is given to thread-level speculation (TLS), a way to automatically break up nominally sequential applications into parallel threads on a CMP, and transactional memory. This model can greatly simplify manual parallel programming by using hardware - instead of conventional software locks - to enforce atomic code execution of blocks of instructions, a technique that makes parallel coding much less error-prone. Contents: The Case for CMPs / Improving Throughput / Improving Latency Automatically / Improving Latency using Manual Parallel Programming / A Multicore World: The Future of CMPs

Download or read book Chip Multiprocessor Architecture written by Oyekunle Ayinde Olukotun and published by Morgan & Claypool Publishers. This book was released on 2007 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chip multiprocessors - also called multi-core microprocessors or CMPs for short - are now the only way to build high-performance microprocessors, for a variety of reasons. Large uniprocessors are no longer scaling in performance, because it is only possible to extract a limited amount of parallelism from a typical instruction stream using conventional superscalar instruction issue techniques. In addition, one cannot simply ratchet up the clock speed on today's processors, or the power dissipation will become prohibitive in all but water-cooled systems. After a discussion of the basic pros and cons of CMPs when they are compared with conventional uniprocessors, this book examines how CMPs can best be designed to handle two radically different kinds of workloads that are likely to be used with a CMP: highly parallel, throughput-sensitive applications at one end of the spectrum, and less parallel, latency-sensitive applications at the other. Throughput-sensitive applications, such as server workloads that handle many independent transactions at once, require careful balancing of all parts of a CMP that can limit throughput, such as the individual cores, on-chip cache memory, and off-chip memory interfaces. Several studies and example systems, such as the Sun Niagara, that examine the necessary tradeoffs are presented here. In contrast, latency-sensitive applications - many desktop applications fall into this category - require a focus on reducing inter-core communication latency and applying techniques to help programmers divide their programs into multiple threads as easily as possible. This book discusses many techniques that can be used in CMPs to simplify parallel programming, with an emphasis on research directions proposed at Stanford University. To illustrate the advantages possible with a CMP using a couple of solid examples, extra focus is given to thread-level speculation (TLS), a way to automatically break up nominally sequential applications into parallel threads on a CMP, and transactional memory. This model can greatly simplify manual parallel programming by using hardware - instead of conventional software locks - to enforce atomic code execution of blocks of instructions, a technique that makes parallel coding much less error-prone. Book jacket.

Download or read book Memory subsystem Resource Management for the Many core Era written by Dimitrios Kaseridis and published by . This book was released on 2011 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: As semiconductor technology continues to scale lower in the nanometer era, the communication between processor and main memory has been particularly challenged. The well-studied frequency, memory and power "walls'' have redirect architects towards utilizing Chip Multiprocessors (CMP) as an attractive architecture for leveraging technology scaling. In order to achieve high efficiency and throughput, CMPs rely heavily on sharing resources among multiple cores, especially in the case of the memory hierarchy. Unfortunately, such sharing introduces resource contention and interference between the multiple executing threads. The ever-increasing access latency difference between processor and memory, the gradually increasing memory bandwidth demands to main memory, and the decreasing cache capacity size available to each core due to multiple core integration, has made the need for an efficient memory subsystem resource management more critical than ever before. This dissertation focuses on managing the sharing of the Last-level Cache (LLC) capacity and the main memory bandwidth, as the two most important resources that significantly affect system performance and energy consumption. The presented schemes include efficient solutions to all of the three basic requirements for implementing a resource management schemes, that is: a) profiling mechanisms to capture applications' resource requirements, b) microarchitecture mechanisms to enforce a resource allocation scheme, and c) resource allocations algorithms/policies to manage the available memory resources throughput the whole memory hierarchy of a CMP system. To achieve these targets the dissertation first describes a set of low overhead, non-invasive profiling mechanisms that are able to project applications' memory resource requirements and memory sharing behavior. Two memory resource partitioning schemes are presented. The first one, the Bank-aware dynamic partitioning scheme provides a low overhead solution for partitioning cache resources of large CMP architectures that are based on a Dynamic Non-Uniform Cache Architecture (DNUCA) last-level cache design, consistent with the current industry trends. In addition, the second scheme, the Bandwidth-aware dynamic scheme presents a system-wide optimization of memory-subsystem resource allocation and job scheduling for large, multi-chip CMP systems. The scheme is seeking for optimizations both within and outside single CMP chips, aiming at overall system throughput and efficiency improvements. As cache partitioning schemes with isolated partitions impose a set of restrictions in the use of the last-level cache, which can severely affect the performance of large CMP designs, this dissertation presents a Quasi-partitioning scheme that breaks such restrictions while providing most of the benefits of cache partitioning schemes. The presented solution is able to efficiently scale to a significant larger number of cores than what previously described schemes that are based on isolated partition can achieve. Finally, as the memory controller is one of the fundamental components of the memory-subsystem, a well-designed memory-subsystem resource management needs to carefully utilize the memory controller resources and coordinate its functionality with the operation of the main memory and the last-level cache. To improve execution fairness and system throughput, this dissertation presents a criticality-based, memory controller requests priority scheme. The scheme ranks demand read and prefetch operations based on their latency sensitivity, while it coordinates its operation with the DRAM page-mode policy and the memory data prefetcher.

Download or read book Third Many core Applications Research Community MARC Symposium written by Diana Göhringer and published by KIT Scientific Publishing. This book was released on 2011 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: