HPCA-22
Author :
Publisher :
Page : pages
File Size : 30,40 MB
Release : 2016
Category :
ISBN : 9781467392112
2016 IEEE International Symposium on High Performance Computer Architecture (HPCA)
Author : IEEE Staff
Publisher :
Page : pages
File Size : 23,36 MB
Release : 2016-03-12
Category :
ISBN : 9781467392129
Book Description
The International Symposium on High Performance Computer Architecture provides a high quality forum for scientists and engineers to present their latest research findings in this rapidly changing field
High Performance Computing
Author : Ana-Lucia Varbanescu
Publisher : Springer Nature
Page : 383 pages
File Size : 16,46 MB
Release : 2022-05-29
Category : Computers
ISBN : 3031073126
Book Description
This book constitutes the refereed proceedings of the 37th International Conference on High Performance Computing, ISC High Performance 2022, held in Hamburg, Germany, during May 29 – June 2, 2022. The 18 full papers presented were carefully reviewed and selected from 53 submissions. The papers are categorized into the following topical sub-headings: Architecture, Networks, and Storage; Machine Learning, AI, Emerging Technologies; HPC Algorithms and Applications; Performance Modeling, Evaluation and Analysis; and Programming Environments and Systems Software.
High Performance Computing
Author : Bradford L. Chamberlain
Publisher : Springer Nature
Page : 485 pages
File Size : 30,84 MB
Release : 2021-06-17
Category : Computers
ISBN : 3030787133
Book Description
This book constitutes the refereed proceedings of the 36th International Conference on High Performance Computing, ISC High Performance 2021, held virtually in June/July 2021. The 24 full papers presented were carefully reviewed and selected from 74 submissions. The papers cover a broad range of topics such as architecture, networks, and storage; machine learning, AI, and emerging technologies; HPC algorithms and applications; performance modeling, evaluation, and analysis; and programming environments and systems software.
High Performance Computing
Author : Julian M. Kunkel
Publisher : Springer
Page : 754 pages
File Size : 16,94 MB
Release : 2017-10-18
Category : Computers
ISBN : 331967630X
Book Description
This book constitutes revised selected papers from 10 workshops that were held as the ISC High Performance 2017 conference in Frankfurt, Germany, in June 2017. The 59 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They stem from the following workshops: Workshop on Virtualization in High-Performance Cloud Computing (VHPC) Visualization at Scale: Deployment Case Studies and Experience Reports International Workshop on Performance Portable Programming Models for Accelerators (P^3MA) OpenPOWER for HPC (IWOPH) International Workshop on Data Reduction for Big Scientific Data (DRBSD) International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale Workshop on HPC Computing in a Post Moore's Law World (HCPM) HPC I/O in the Data Center ( HPC-IODC) Workshop on Performance and Scalability of Storage Systems (WOPSSS) IXPUG: Experiences on Intel Knights Landing at the One Year Mark International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale (ExaComm)
Approximate Arithmetic Circuit Architectures for FPGA-based Systems
Author : Salim Ullah
Publisher : Springer Nature
Page : 190 pages
File Size : 47,81 MB
Release : 2023-02-27
Category : Technology & Engineering
ISBN : 3031212940
Book Description
This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations.
Advanced Computer Architecture
Author : Dezun Dong
Publisher : Springer Nature
Page : 340 pages
File Size : 31,26 MB
Release : 2020-09-04
Category : Computers
ISBN : 9811581355
Book Description
This book constitutes the refereed proceedings of the 13th Conference on Advanced Computer Architecture, ACA 2020, held in Kunming, China, in August 2020. Due to the COVID-19 pandemic the conference was held online. The 24 revised full papers presented were carefully reviewed and selected from 105 submissions. The papers of this volume are organized in topical sections on: interconnection network, router and network interface architecture; accelerator-based, application-specific and reconfigurable architecture; processor, memory, and storage systems architecture; model, simulation and evaluation of architecture; new trends of technologies and applications.
Computer Aided Verification
Author : Isil Dillig
Publisher : Springer
Page : 558 pages
File Size : 18,29 MB
Release : 2019-07-12
Category : Computers
ISBN : 3030255433
Book Description
The open access two-volume set LNCS 11561 and 11562 constitutes the refereed proceedings of the 31st International Conference on Computer Aided Verification, CAV 2019, held in New York City, USA, in July 2019. The 52 full papers presented together with 13 tool papers and 2 case studies, were carefully reviewed and selected from 258 submissions. The papers were organized in the following topical sections: Part I: automata and timed systems; security and hyperproperties; synthesis; model checking; cyber-physical systems and machine learning; probabilistic systems, runtime techniques; dynamical, hybrid, and reactive systems; Part II: logics, decision procedures; and solvers; numerical programs; verification; distributed systems and networks; verification and invariants; and concurrency.
Architecture of Computing Systems – ARCS 2019
Author : Martin Schoeberl
Publisher : Springer
Page : 335 pages
File Size : 20,16 MB
Release : 2019-05-13
Category : Computers
ISBN : 3030186563
Book Description
This book constitutes the proceedings of the 32nd International Conference on Architecture of Computing Systems, ARCS 2019, held in Copenhagen, Denmark, in May 2019. The 24 full papers presented in this volume were carefully reviewed and selected from 40 submissions. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from embedded and real-time systems all the way to large-scale and parallel systems. The selected papers are organized in the following topical sections: Dependable systems; real-time systems; special applications; architecture; memory hierarchy; FPGA; energy awareness; NoC/SoC. The chapter 'MEMPower: Data-Aware GPU Memory Power Model' is open access under a CC BY 4.0 license at link.springer.com.
AI Computing Systems
Author : Yunji Chen
Publisher : Elsevier
Page : 450 pages
File Size : 25,80 MB
Release : 2022-10-12
Category : Computers
ISBN : 0323953980
Book Description
AI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the specific intelligent application of "image style migration" to provide students with a sound starting place to learn. This approach enables readers to obtain a full view of the AI computing system. A complete intelligent computing system involves many aspects such as processing chip, system structure, programming environment, software, etc., making it a difficult topic to master in a short time. Provides an in-depth analysis of the underlying principles behind the use of knowledge in intelligent computing systems Centers around application-driven and full-stack penetration, focusing on the knowledge required to complete this application at all levels of the software and hardware technology stack Supporting experimental tutorials covering key knowledge points in each chapter provide practical guidance and formalization tools for developing a simple AI computing system
