Languages and compilers for parallel computing : 30th International Workshop, LCPC 2017, College Station, TX, USA, October 11-13, 2017 : revised selected papers / Lawrence Rauchwerger (ed.).
LCPC (Workshop) (30th : 2017 : College Station, Texas); Rauchwerger, Lawrence.
2019
QA76.642 .L38 2017
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Languages and compilers for parallel computing : 30th International Workshop, LCPC 2017, College Station, TX, USA, October 11-13, 2017 : revised selected papers / Lawrence Rauchwerger (ed.).
Meeting Name LCPC (Workshop) (30th : 2017 : College Station, Texas)
ISBN 9783030352257 (electronic book)
3030352250 (electronic book)
9783030352240
Published Cham, Switzerland : Springer, [2019]
Language English
Description 1 online resource (xxxiv, 290 pages) : illustrations.
Other Standard Identifiers 10.1007/978-3-030-35
Call Number QA76.642 .L38 2017
Dewey Decimal Classification 005.13
Summary This book constitutes the proceedings of the 30th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2017, held in College Station, TX, USA, in October 2017. The 17 full papers presented together with abstracts of 5 keynote talks, 11 invited speakers and 4 poster papers in this volume were carefully reviewed and selected from 26 submissions. LCPC encourages submissions that go outside its original scope of scientific computing to diverse areas that are enable or enhanced by the power of parallel systems such as mobile computing, big data, relevant aspects of machine learning, data centers, cognitive computing, etc. LCPC strongly encourages personal interaction and technical discussions along the initial material.
Note Includes author index.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from digital title page (viewed on December 09, 2019).
Added Author Rauchwerger, Lawrence.
Series Lecture notes in computer science ; 11403.
LNCS sublibrary. SL 1, Theoretical computer science and general issues.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
[I]. Compilers for parallel computing: Using hardware counters to predict vectorization / Neftali Watkinson, Aniket Shivam, Zhi Chen, Alexander Veidenbaum, Alexandru Nicolau, and Zhangxiaowen Gong
Software cache coherent control by parallelizing compiler / Boma A. Adhi, Masayoshi Mase, Yuhei Hosokawa, Yohei Kishimoto, Taisuke Onishi, Hiroki Mikami, Keiji Kimura, and Hironori Kasahara
Polyhedral compilation support for C++ features : a case study with CPPTRAJ / Amit Roy, Daniel Roe, Mary Hall, and Thomas Cheatham
Language-agnostic optimization and parallelization for interpreted languages / Michelle Mills Strout, Saumya Debray, Kate Isaacs, Barbara Kreaseck, Julio Cárdenas-Rodríguez, Bonnie Hurwitz, Kat Volk, Sam Badger, Jesse Bartels, Ian Bertolacci, Sabin Devkota, Anthony Encinas, Ben Gaska, Brandon Neth, Theo Sackos, Jon Stephens, Sarah Willer, and Babak Yadegari.

[II]. Performance modeling and instrumentation: Memory distance measurement for concurrent programs / Hao Li, Jialiang Chang, Zijiang Yang, and Steve Carr
Efficient cache simulation for affine computations / Wenlei Bao, Prashant Singh Rawat, Martin Kong, Sriram Krishnamoorthy, Louis-Noel Pouchet, and P. Sadayappan
ADLER : adaptive sampling for precise monitoring / Arnamoy Bhattacharyya and Cristiana Amza
How low can you go? / Henry Dietz
Memory-access-pattern analysis techniques for OpenCL kernels / Gangwon Jo, Jaehoon Jung, Jiyoung Park, and Jaejin Lee.

[III]. Parallel programming and abstractions: Characterizing performance of imbalanced collectives on hybrid and task centric runtimes for two-phase reduction / Udayanga Wickramasinghe and Andrew Lumsdaine
Abstract representation of shared data for heterogeneous computing / Tushar Kumar, Aravind Natarajan, Wenjia Ruan, Mario Badr, Dario Suarez Gracia, and Calin Cascaval
Parallel roles for practical deterministic parallel programming / Michael Faes and Thomas R. Gross
Mozart : efficient composition of library functions for heterogeneous execution / Rajkishore Barik, Tatiana Shpeisman, Hongbo Rong, Chunling Hu, Victor W. Lee, Todd A. Anderson, Greg Henry, Hai Liu, Youfeng Wu, Paul Petersen, and Geoff Lowney
Lock-free transactional adjacency list / Zachary Painter, Christina Peterson, and Damian Dechev.

[IV]. GPU applications: Efficient inspected critical sections in data-parallel GPU codes / Thorsten Blaß, Michael Philippsen, and Ronald Veldema
Scalable top-K query processing using graphics processing unit / Yulin Zhang, Hui Fang, and Xiaoming Li
Fast dynamic graph algorithms / Gaurav Malhotra, Hitish Chappidi, and Rupesh Nasre.

[V]. Posters: Towards fine-grained dataflow parallelism in big data systems / Sebastian Ertel, Justus Adam, and Jeronimo Castrillon
JIT for intelligent manufacturing / Lei Zhang, L. N. C. Annadorai, Atin Angrish, Xipeng Shen, Binil Starly, Yuan-Shin Lee, and Paul Cohen
Static reuse time analysis using dependence distance / Dong Chen, Fangzhou Liu, Chen Ding, and Chucheow Lim
Analyzing auto-vectorization rates and quality in C/C++ compilers / Angela Pohl, Biagio Cosenza, and Ben Juurlink.

Browse Subjects

Show more subjects...

Statistics

from
to
Export