11. PPOPP 2006: New York, New York, USA

Josep Torrellas, Siddhartha Chatterjee (Eds.): Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP 2006, New York, New York, USA, March 29-31, 2006. ACM 2006, ISBN 1-59593-189-9 BibTeX

Guy L. Steele Jr.:
Parallel programming and code selection in fortress. 1
Electronic Edition (ACM DL) BibTeX

Communication

Ernie Chan, Robert A. van de Geijn, William Gropp, Rajeev Thakur:
Collective communication on architectures that support simultaneous communication over multiple links. 2-11
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Chao Huang, Gengbin Zheng, Laxmikant V. Kalé, Sameer Kumar:
Performance evaluation of adaptive MPI. 12-21
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Rohit Fernandes, Keshav Pingali, Paul Stodghill:
Mobile MPI programs in computational grids. 22-31
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Sayantan Sur, Hyun-Wook Jin, Lei Chai, Dhabaleswar K. Panda:
RDMA read based rendezvous protocol for MPI over InfiniBand: design alternatives and benefits. 32-39
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Languages

Steven J. Deitz, David Callahan, Bradford L. Chamberlain, Lawrence Snyder:
Global-view abstractions for user-defined reductions and scans. 40-47
Electronic Edition (ACM DL) BibTeX
Ganesh Bikshandi, Jia Guo, Daniel Hoeflinger, Gheorghe Almási, Basilio B. Fraguela, María Jesús Garzarán, David A. Padua, Christoph von Praun:
Programming for parallelism and locality with hierarchically tiled arrays. 48-57
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Raymie Stata:
Parallel programming in modern web search engines. 58
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Performance characterization

Sadaf R. Alam, Jeffrey S. Vetter, Pratul K. Agarwal, Al Geist:
Performance characterization of molecular dynamics techniques for biomolecular simulations. 59-68
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Philip C. Roth, Barton P. Miller:
On-line automated performance diagnosis on thousands of processes. 69-80
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Ilya Sharapov, Robert Kroeger, Guy Delamarter, Razvan Cheveresan, Matthew Ramsay:
A case study in top-down performance estimation for a large-scale parallel application. 81-89
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Shared memory parallelism

Jaydeep Marathe, Frank Mueller:
Hardware profile-guided automatic page placement for ccNUMA systems. 90-99
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Kunal Agrawal, Yuxiong He, Wen-Jing Hsu, Charles E. Leiserson:
Adaptive scheduling with parallelism feedback. 100-109
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John Brevik, Daniel Nurmi, Richard Wolski:
Predicting bounds on queuing delay for batch-scheduled parallel machines. 110-118
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Ayon Basumallik, Rudolf Eigenmann:
Optimizing irregular shared-memory applications for distributed-memory systems. 119-128
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Atomicity issues

Viktor Vafeiadis, Maurice Herlihy, Tony Hoare, Marc Shapiro:
Proving correctness of highly-concurrent linearisable objects. 129-136
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Liqiang Wang, Scott D. Stoller:
Accurate and efficient runtime detection of atomicity errors in concurrent programs. 137-146
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William N. Scherer III, Doug Lea, Michael L. Scott:
Scalable synchronous queues. 147-156
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Software issues for multicore systems

Multicore software

Wei Liu, James Tuck, Luis Ceze, Wonsun Ahn, Karin Strauss, Jose Renau, Josep Torrellas:
POSH: a TLS compiler that exploits program structure. 158-167
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Xianghui Hu, Xinan Tang, Bei Hua:
High-performance IPv6 forwarding algorithm for multi-core and multithreaded network processor. 168-177
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Simon Kahan, Petr Konecny:
"MAMA!": a memory allocator for multithreaded architectures. 178-186
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Transactional memory

Bratin Saha, Ali-Reza Adl-Tabatabai, Richard L. Hudson, Chi Cao Minh, Ben Hertzberg:
McRT-STM: a high performance software transactional memory system for a multi-core runtime. 187-197
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Kaloian Manassiev, Madalin Mihailescu, Cristiana Amza:
Exploiting distributed version concurrency in a transactional memory cluster. 198-208
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Sanjeev Kumar, Michael Chu, Christopher J. Hughes, Partha Kundu, Anthony Nguyen:
Hybrid transactional memory. 209-220
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Potpourri

Rosalia Christodoulopoulou, Kaloian Manassiev, Angelos Bilas, Cristiana Amza:
Fast and transparent recovery for continuous availability of cluster-based servers. 221-229
Electronic Edition (ACM DL) BibTeX
Robert Springer, David K. Lowenthal, Barry Rountree, Vincent W. Freeh:
Minimizing execution time in MPI programs on an energy-constrained, power-scalable cluster. 230-238
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David A. Joiner, Paul Gray, Thomas Murphy, Charles Peck:
Teaching parallel computing to science faculty: best practices and common pitfalls. 239-246
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