Screen LibraryAdvances in GPU research and practice /
"Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy is...
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| Group Author: | |
|---|---|
| Published: |
Morgan Kaufmann,
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| Publisher Address: | Cambridge, MA : |
| Publication Dates: | [2017] |
| Literature type: | Book |
| Language: | English |
| Series: |
Emerging trends in computer science & applied computing
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| Subjects: | |
| Summary: |
"Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy issues. Divided into six parts, this edited volume provides the latest research on GPU computing. Part I: Architectural Solutions focuses on the architectural topics that improve on performance of GPUs, Part II: System Software discusses OS, compilers, libraries, programming environment, languages, and paradigms that are proposed and analyzed to help and support GPU programmers. Part III: Power and Reliability Issues covers different aspects of energy, power, and reliability concerns in GPUs. Part IV: Performance Analysis illustrates mathematical and analytical techniques to predict different performance metrics in GPUs. Part V: Algorithms presents how to design efficient algorithms and analyze their complexity for GPUs. Part VI: Applications and Related Topics provides use cases and examples of how GPUs are used across many sectors"--Publisher's website. |
| Carrier Form: | xxxi, 741 pages : illustrations ; 24 cm. |
| Bibliography: | Includes bibliographical references and indexes. |
| ISBN: |
9780128037386 0128037385 |
| Index Number: | T385 |
| CLC: | TP391.41 |
| Call Number: | TP391.41/A244-1 |
| Contents: |
Formal analysis techniques for reliable GPU programming : current solutions and call to action / SnuCL : a unified OpenCL framework for heterogeneous clusters / Thread communication and synchronization on massively parallel GPUs / Software-level task scheduling on GPUs / Data placement on GPUs / Biological sequence analysis on GPU / Graph algorithms on GPUs / GPU alignment of two and three sequences / Augmented Block Cimmino Distributed Algorithm for solving tridiagonal systems on GPU / GPU computing applied to linear and mixed-integer programming / GPU-accelerated shortest paths computations for planar graphs / GPU sorting algorithms / MPC : An effective floating-point compression algorithm for GPUs / Adaptive sparse matrix representation for efficient matrix-vector multiplication / A framework for accelerating bottlenecks in GPU execution with assist warps / Accelerating GPU accelerators through neural algorithmic transformation / The need for heterogeneous network-on-chip architectures with GPGPUs : a case study with photonic interconnects / Accurately modeling GPGPU frequency scaling with the CRISP performance model / Energy and power considerations of GPUs / Architecting the last-level cache for GPUs using STT-MRAM nonvolatile memory / Power management of mobile GPUs / Advances in GPU reliability research / Addressing hardware reliability challenges in general-purpose GPUs / |