ICS 2010: Tsukuba, Ibaraki, Japan

Keynotes

• Stephen S. Pawlowski:
  Exascale science: the next frontier in high performance computing. 1
  
• William J. Dally:
  Throughput computing. 2
  
• Kimihiko Hirao:
  The next-generation supercomputer project and a plan for the advanced institute for computational science. 3
  

MPI

• Vladimir Marjanovic, Jesús Labarta, Eduard Ayguadé, Mateo Valero:
  Overlapping communication and computation by using a hybrid MPI/SMPSs approach. 5-16
  
• Sreeram Potluri, Ping Lai, Karen A. Tomko, Sayantan Sur, Yifeng Cui, Mahidhar Tatineni, Karl W. Schulz, William L. Barth, Amitava Majumdar, Dhabaleswar K. Panda:
  Quantifying performance benefits of overlap using MPI-2 in a seismic modeling application. 17-25
  
• Nikhil Jain, Yogish Sabharwal:
  Optimal bucket algorithms for large MPI collectives on torus interconnects. 27-36
  

Cache and transaction memory

• Javier Lira, Carlos Molina, Antonio González:
  The auction: optimizing banks usage in Non-Uniform Cache Architectures. 37-47
  
• Robert Strzodka, Mohammed Shaheen, Dawid Pajak, Hans-Peter Seidel:
  Cache oblivious parallelograms in iterative stencil computations. 49-59
  
• Woongki Baek, Nathan Grasso Bronson, Christos Kozyrakis, Kunle Olukotun:
  Making nested parallel transactions practical using lightweight hardware support. 61-71
  

Applications (1)

• Atabak Mahram, Martin C. Herbordt:
  Fast and accurate NCBI BLASTP: acceleration with multiphase FPGA-based prefiltering. 73-82
  
• Narges Bani Asadi, Christopher W. Fletcher, Greg Gibeling, John Wawrzynek, Wing H. Wong, Garry P. Nolan:
  ParaLearn: a massively parallel, scalable system for learning interaction networks on FPGAs. 83-94
  
• Michael D. Linderman, Robert Bruggner, Vivek Athalye, Teresa H. Y. Meng, Narges Bani Asadi, Garry P. Nolan:
  High-throughput Bayesian network learning using heterogeneous multicore computers. 95-104
  
• Chi Ching Chi, Ben H. H. Juurlink, Cor Meenderinck:
  Evaluation of parallel H.264 decoding strategies for the Cell Broadband Engine. 105-114
  

GPGPU and accelerators (1)

• Eddy Z. Zhang, Yunlian Jiang, Ziyu Guo, Xipeng Shen:
  Streamlining GPU applications on the fly: thread divergence elimination through runtime thread-data remapping. 115-126
  
• Allen D. Malony, Scott Biersdorff, Wyatt Spear, Shangkar Mayanglambam:
  An experimental approach to performance measurement of heterogeneous parallel applications using CUDA. 127-136
  
• Vignesh T. Ravi, Wenjing Ma, David Chiu, Gagan Agrawal:
  Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations. 137-146
  

Architecture

• Ramon Bertran, Marc González, Xavier Martorell, Nacho Navarro, Eduard Ayguadé:
  Decomposable and responsive power models for multicore processors using performance counters. 147-158
  
• Lixin Zhang, Evan Speight, Ramakrishnan Rajamony, Jiang Lin:
  Enigma: architectural and operating system support for reducing the impact of address translation. 159-168
  
• Huaiyu Zhu, Yong Chen, Xian-He Sun:
  Timing local streams: improving timeliness in data prefetching. 169-178
  
• Chunyang Gou, Georgi Kuzmanov, Georgi Gaydadjiev:
  SAMS multi-layout memory: providing multiple views of data to boost SIMD performance. 179-188
  

System and IO issues

• Major Bhadauria, Sally A. McKee:
  An approach to resource-aware co-scheduling for CMPs. 189-199
  
• Adam J. Oliner, Alex Aiken:
  A query language for understanding component interactions in production systems. 201-210
  
• Ramya Prabhakar, Shekhar Srikantaiah, Mahmut T. Kandemir, Christina M. Patrick:
  Adaptive multi-level cache allocation in distributed storage architectures. 211-221
  
• Xuechen Zhang, Song Jiang:
  InterferenceRemoval: removing interference of disk access for MPI programs through data replication. 223-232
  

Applications (2)

• Keith R. Bisset, Jiangzhuo Chen, Xizhou Feng, Yifei Ma, Madhav V. Marathe:
  Indemics: an interactive data intensive framework for high performance epidemic simulation. 233-242
  
• Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, Daniel A. Reed:
  Clustering performance data efficiently at massive scales. 243-252
  
• Jaewook Shin, Mary W. Hall, Jacqueline Chame, Chun Chen, Paul F. Fischer, Paul D. Hovland:
  Speeding up Nek5000 with autotuning and specialization. 253-262
  

Compilers

• Josep M. Pérez, Rosa M. Badia, Jesús Labarta:
  Handling task dependencies under strided and aliased references. 263-274
  
• Harmen L. A. van der Spek, C. W. Mattias Holm, Harry A. G. Wijshoff:
  How to unleash array optimizations on code using recursive data structures. 275-284
  
• Lixia Liu, Zhiyuan Li:
  A compiler-automated array compression scheme for optimizing memory intensive programs. 285-294
  
• Arun Chauhan, Chun-Yu Shei:
  Static reuse distances for locality-based optimizations in MATLAB. 295-304
  

GPGPU and accelerators (2)

• Liang Gu, Xiaoming Li, Jakob Siegel:
  An empirically tuned 2D and 3D FFT library on CUDA GPU. 305-314
  
• Yifeng Chen, Xiang Cui, Hong Mei:
  Large-scale FFT on GPU clusters. 315-324
  
• Yong Dou, Yuanwu Lei, Guiming Wu, Song Guo, Jie Zhou, Li Shen:
  FPGA accelerating double/quad-double high precision floating-point applications for ExaScale computing. 325-336
  
• Jamin Naghmouchi, Daniele Paolo Scarpazza, Mladen Berekovic:
  Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization. 337-348
  

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