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Languages and Compilers for Parallel Computing : 32nd International Workshop, LCPC 2019, Atlanta, GA, USA, October 22-24, 2019, Revised Selected Papers / edited by Santosh Pande, Vivek Sarkar.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Pande, Santosh, Editor.
Sarkar, Vivek, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 11998
Theoretical Computer Science and General Issues, 2512-2029 ; 11998
Language:
English
Subjects (All):
Compilers (Computer programs).
Computer systems.
Computer programming.
Microprocessors.
Computer architecture.
Compilers and Interpreters.
Computer System Implementation.
Programming Techniques.
Processor Architectures.
Local Subjects:
Compilers and Interpreters.
Computer System Implementation.
Programming Techniques.
Processor Architectures.
Physical Description:
1 online resource (XII, 165 pages) : 71 illustrations, 47 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
This book constitutes the thoroughly refereed post-conference proceedings of the 32nd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2019, held in Atlanta, GA, USA, in October 2019. The 8 revised full papers and 3 revised short papers were carefully reviewed and selected from 17 submissions. The scope of the workshop includes advances in programming systems for current domains and platforms, e.g., scientific computing, batch/ streaming/ real-time data analytics, machine learning, cognitive computing, heterogeneous/ reconfigurable computing, mobile computing, cloud computing, IoT, as well as forward-looking computing domains such as analog and quantum computing.
Contents:
Performance of Static and Dynamic Task Scheduling for Real-Time Engine Control System on Embedded Multicore Processor
PostSLP: Cross-Region Vectorization of Fully or Partially Vectorized Code
FLARE: Flexibly Sharing Commodity GPUs to Enforce QoS and Improve Utilization
Foundations of consistency types for a higher-order distributed language
Common Subexpression Convergence: A New Code Optimization for SIMT processors
Using Performance Event Profiles to Deduce an Execution Model of MATLAB with Just-In-Time Compilation
CLAM: Compiler Leasing of Accelerator Memory
Abstractions for Polyhedral Topology-Aware Tasking
SWIRL++: Evaluating Performance Models to Guide Code Transformation in Convolutional Neural Networks
A Structured Grid Solver with Polyhedral+Dataflow Representation
CubeGen: Code Generation for Accelerated GEMM-based Convolution with Tiling.
Other Format:
Printed edition:
ISBN:
978-3-030-72789-5
9783030727895
Access Restriction:
Restricted for use by site license.

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