Download or read book Extending the Real Time Specification for Java for Cache Coherent NUMA Architectures written by Haseeb Malik and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent past has seen single processing systems becoming obsolete and multiprocessor systems taking over as the architecture of choice. More scalable architectures are being introduced to keep up with the ever increasing computational requirements. Inevitably the software industry has to keep up and provide tools which would allow easy development of parallel applications on these complex architectures. Programming languages unable to support these architectures will become obsolete and new languages will be developed designed to serve the purpose. Existing languages that have the potential of coping with such architectures will be extended. Java is an object oriented language which provides features like platform independence and concurrency by design. It is supported on a wide range of computational devices starting from high performance computing servers to small hand held mobiles. This makes Java a very popular language, with a large pool of programmers. Therefore, it is not strange to see Java being extended for different multiprocessor and distributed systems. The Real-Time Specification for Java (RTSJ) was introduced as a high level platform for developing real-time applications. It has been gaining popularity since its inception and is being increasingly used for real time development. The recent version of RTSJ (i.e. RTSJ~1.1) has included some support for multiprocessors. The changes that have been introduced are largely related to the scheduling and dispatching of threads in symmetric multiprocessors. It is assumed that the memory allocations will not affect the timing properties of the system and it will be accessed uniformly. This thesis argues that these changes are not enough to support shared memory multiprocessors on RTSJ; and the following issues need to be addressed: \begin{itemize} \item In shared memory multiprocessors, uniform memory access (UMA) systems are not scalable and will be replaced by cache coherent non-uniform memory access (cc-NUMA) systems. Locality can largely affect the performance of applications and cause unpredictable delays in real-time applications on cc-NUMA systems. These delays are caused by the distributed memory layout in cc-NUMA and can be reduced by giving applications more control and visibility into the allocation policies of threads and memory. \item The increased computational power of multiprocessors encourages the platform to be shared by multiple applications. In such an environment, real-time applications require temporal guarantees from the platform to meet their timing requirements. \end{itemize} The key contribution of this thesis is to extend the programming model of RTSJ to provide programmers with locality constraints. Existing support in RTSJ for locality is shown to be very limited and a new locality model is presented which enables programmers to develop portable applications. Applications are divided into multiple partitions and temporal guarantees are provided to partitions allowing them to be analyzed in isolation from the rest of the system. A prototype of the aforementioned model is implemented and tested. A series of experiments are conducted to prove the effectiveness of the model. In particular, the effect of locality is highlighted by performance measuring in a multithreaded environment.

Download or read book Extending the Real Time Specification for Java for Cache Coherent NUMA Architectures written by Abdul Haseeb Malik and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Real time Specification for Java written by Gregory Bollella and published by Addison Wesley Longman. This book was released on 2000 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-time programming is a critical component in the development of many consumer and industrial devices. The long-awaited Real-Time Java specification has arrived, delivering the powerful benefits of Java to the embedded software development community. The Real-Time Specification for Java, introduces the new specification in detail -- giving developers all the information and insight they need to start building powerful, Java-based software. The book is the definitive reference to the semantics, extensions, and modifications to the Java programming language that enable the Java platform to meet the requirements and constraints of real-time development. For all Java programmers, embedded systems programmers, and system architects.

Download or read book A Primer on Memory Consistency and Cache Coherence written by Vijay Nagarajan and published by Morgan & Claypool Publishers. This book was released on 2020-02-04 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many modern computer systems, including homogeneous and heterogeneous architectures, support shared memory in hardware. In a shared memory system, each of the processor cores may read and write to a single shared address space. For a shared memory machine, the memory consistency model defines the architecturally visible behavior of its memory system. Consistency definitions provide rules about loads and stores (or memory reads and writes) and how they act upon memory. As part of supporting a memory consistency model, many machines also provide cache coherence protocols that ensure that multiple cached copies of data are kept up-to-date. The goal of this primer is to provide readers with a basic understanding of consistency and coherence. This understanding includes both the issues that must be solved as well as a variety of solutions. We present both high-level concepts as well as specific, concrete examples from real-world systems. This second edition reflects a decade of advancements since the first edition and includes, among other more modest changes, two new chapters: one on consistency and coherence for non-CPU accelerators (with a focus on GPUs) and one that points to formal work and tools on consistency and coherence.

Download or read book Performance Analysis and Tuning on Modern CPUs written by and published by Independently Published. This book was released on 2020-11-16 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Performance tuning is becoming more important than it has been for the last 40 years. Read this book to understand your application's performance that runs on a modern CPU and learn how you can improve it. The 170+ page guide combines the knowledge of many optimization experts from different industries.

Download or read book The Art of Multiprocessor Programming Revised Reprint written by Maurice Herlihy and published by Elsevier. This book was released on 2012-06-25 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised and updated with improvements conceived in parallel programming courses, The Art of Multiprocessor Programming is an authoritative guide to multicore programming. It introduces a higher level set of software development skills than that needed for efficient single-core programming. This book provides comprehensive coverage of the new principles, algorithms, and tools necessary for effective multiprocessor programming. Students and professionals alike will benefit from thorough coverage of key multiprocessor programming issues. - This revised edition incorporates much-demanded updates throughout the book, based on feedback and corrections reported from classrooms since 2008 - Learn the fundamentals of programming multiple threads accessing shared memory - Explore mainstream concurrent data structures and the key elements of their design, as well as synchronization techniques from simple locks to transactional memory systems - Visit the companion site and download source code, example Java programs, and materials to support and enhance the learning experience

Download or read book Introduction to Parallel Computing written by Ananth Grama and published by Pearson Education. This book was released on 2003 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.

Download or read book STRUCTURED COMPUTER ORGANIZATION written by and published by . This book was released on 1996 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Linux Device Drivers written by Jonathan Corbet and published by "O'Reilly Media, Inc.". This book was released on 2005-02-07 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Device drivers literally drive everything you're interested in--disks, monitors, keyboards, modems--everything outside the computer chip and memory. And writing device drivers is one of the few areas of programming for the Linux operating system that calls for unique, Linux-specific knowledge. For years now, programmers have relied on the classic Linux Device Drivers from O'Reilly to master this critical subject. Now in its third edition, this bestselling guide provides all the information you'll need to write drivers for a wide range of devices.Over the years the book has helped countless programmers learn: how to support computer peripherals under the Linux operating system how to develop and write software for new hardware under Linux the basics of Linux operation even if they are not expecting to write a driver The new edition of Linux Device Drivers is better than ever. The book covers all the significant changes to Version 2.6 of the Linux kernel, which simplifies many activities, and contains subtle new features that can make a driver both more efficient and more flexible. Readers will find new chapters on important types of drivers not covered previously, such as consoles, USB drivers, and more.Best of all, you don't have to be a kernel hacker to understand and enjoy this book. All you need is an understanding of the C programming language and some background in Unix system calls. And for maximum ease-of-use, the book uses full-featured examples that you can compile and run without special hardware.Today Linux holds fast as the most rapidly growing segment of the computer market and continues to win over enthusiastic adherents in many application areas. With this increasing support, Linux is now absolutely mainstream, and viewed as a solid platform for embedded systems. If you're writing device drivers, you'll want this book. In fact, you'll wonder how drivers are ever written without it.

Download or read book Programming Persistent Memory written by Steve Scargall and published by Apress. This book was released on 2020-01-09 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times—a huge leap forward in byte-addressable capacity compared with current DRAM offerings. This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data. Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included. What You’ll Learn Understand what persistent memory is, what it does, and the value it brings to the industry Become familiar with the operating system and hardware requirements to use persistent memory Know the fundamentals of persistent memory programming: why it is different from current programming methods, and what developers need to keep in mind when programming for persistence Look at persistent memory application development by example using the Persistent Memory Development Kit (PMDK)Design and optimize data structures for persistent memoryStudy how real-world applications are modified to leverage persistent memoryUtilize the tools available for persistent memory programming, application performance profiling, and debugging Who This Book Is For C, C++, Java, and Python developers, but will also be useful to software, cloud, and hardware architects across a broad spectrum of sectors, including cloud service providers, independent software vendors, high performance compute, artificial intelligence, data analytics, big data, etc.

Download or read book Programming Many Core Chips written by András Vajda and published by Springer Science & Business Media. This book was released on 2011-06-10 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new concepts, techniques and promising programming models for designing software for chips with "many" (hundreds to thousands) processor cores. Given the scale of parallelism inherent to these chips, software designers face new challenges in terms of operating systems, middleware and applications. This will serve as an invaluable, single-source reference to the state-of-the-art in programming many-core chips. Coverage includes many-core architectures, operating systems, middleware, and programming models.

Download or read book Is Parallel Programming Hard written by Paul E. McKenney and published by . This book was released on 2015-06-13 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The SPARC Architecture Manual written by SPARC International and published by Prentice Hall. This book was released on 1994 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: SPARC (Scalable Processor Architecture) is the industry's only openly defined and evolved RISC architecture. Version 9 is the new 64-bit incarnation of SPARC - the most significant change since SPARC's introduction in 1987! Unlike other RISC (Reduced Instruction Set Computer) designs, SPARC specifies not a hardware implementation ("chip"), but an open, standard architecture belonging to the community of SPARC vendors and users. The SPARC specification is defined by the SPARC Architecture Committee, a technical arm of the computer-maker consortium, SPARC International. Version 9 provides 64-bit data and addressing, support for fault tolerance, fast context switching, support for advanced compiler optimizations, efficient design for Superscalar processors, and a clean structure for modern operating systems. The V9 architecture supplements, rather than replaces, the 32-bit Version 8 architecture. The non-privileged features of Version 9 are upward-compatible from Version 8, so 32-bit application software can execute natively, without modification, on Version 9 systems - no special "compatibility mode" is required. Publication of the Version 9 architecture marks a three-year development effort by SPARC International member companies from a broad cross-section of disciplines.

Download or read book Scientific Programming and Computer Architecture written by Divakar Viswanath and published by MIT Press. This book was released on 2017-07-28 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: A variety of programming models relevant to scientists explained, with an emphasis on how programming constructs map to parts of the computer. What makes computer programs fast or slow? To answer this question, we have to get behind the abstractions of programming languages and look at how a computer really works. This book examines and explains a variety of scientific programming models (programming models relevant to scientists) with an emphasis on how programming constructs map to different parts of the computer's architecture. Two themes emerge: program speed and program modularity. Throughout this book, the premise is to "get under the hood," and the discussion is tied to specific programs. The book digs into linkers, compilers, operating systems, and computer architecture to understand how the different parts of the computer interact with programs. It begins with a review of C/C++ and explanations of how libraries, linkers, and Makefiles work. Programming models covered include Pthreads, OpenMP, MPI, TCP/IP, and CUDA.The emphasis on how computers work leads the reader into computer architecture and occasionally into the operating system kernel. The operating system studied is Linux, the preferred platform for scientific computing. Linux is also open source, which allows users to peer into its inner workings. A brief appendix provides a useful table of machines used to time programs. The book's website (https://github.com/divakarvi/bk-spca) has all the programs described in the book as well as a link to the html text.

Download or read book IBM Power Systems Performance Guide Implementing and Optimizing written by Dino Quintero and published by IBM Redbooks. This book was released on 2013-05-01 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® Redbooks® publication addresses performance tuning topics to help leverage the virtualization strengths of the POWER® platform to solve clients' system resource utilization challenges, and maximize system throughput and capacity. We examine the performance monitoring tools, utilities, documentation, and other resources available to help technical teams provide optimized business solutions and support for applications running on IBM POWER systems' virtualized environments. The book offers application performance examples deployed on IBM Power SystemsTM utilizing performance monitoring tools to leverage the comprehensive set of POWER virtualization features: Logical Partitions (LPARs), micro-partitioning, active memory sharing, workload partitions, and more. We provide a well-defined and documented performance tuning model in a POWER system virtualized environment to help you plan a foundation for scaling, capacity, and optimization . This book targets technical professionals (technical consultants, technical support staff, IT Architects, and IT Specialists) responsible for providing solutions and support on IBM POWER systems, including performance tuning.

Download or read book Heterogeneous Computing with OpenCL 2 0 written by David R. Kaeli and published by Morgan Kaufmann. This book was released on 2015-06-18 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more

Download or read book Big Data Management and Processing written by Kuan-Ching Li and published by CRC Press. This book was released on 2017-05-19 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the Foreword: "Big Data Management and Processing is [a] state-of-the-art book that deals with a wide range of topical themes in the field of Big Data. The book, which probes many issues related to this exciting and rapidly growing field, covers processing, management, analytics, and applications... [It] is a very valuable addition to the literature. It will serve as a source of up-to-date research in this continuously developing area. The book also provides an opportunity for researchers to explore the use of advanced computing technologies and their impact on enhancing our capabilities to conduct more sophisticated studies." ---Sartaj Sahni, University of Florida, USA "Big Data Management and Processing covers the latest Big Data research results in processing, analytics, management and applications. Both fundamental insights and representative applications are provided. This book is a timely and valuable resource for students, researchers and seasoned practitioners in Big Data fields. --Hai Jin, Huazhong University of Science and Technology, China Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage of innovative problem solving techniques for a range of platforms. It serves as a repository of paradigms, technologies, and applications that target different facets of big data computing systems. The first part of the book explores energy and resource management issues, as well as legal compliance and quality management for Big Data. It covers In-Memory computing and In-Memory data grids, as well as co-scheduling for high performance computing applications. The second part of the book includes comprehensive coverage of Hadoop and Spark, along with security, privacy, and trust challenges and solutions. The latter part of the book covers mining and clustering in Big Data, and includes applications in genomics, hospital big data processing, and vehicular cloud computing. The book also analyzes funding for Big Data projects.