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ORCIDLCPC 2014: Hillsboro, OR, USA
- James C. Brodman
, Peng Tu:
Languages and Compilers for Parallel Computing - 27th International Workshop, LCPC 2014, Hillsboro, OR, USA, September 15-17, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8967, Springer 2015, ISBN 978-3-319-17472-3
Accelerator Programming
- Min Feng, Rajiv Gupta, Laxmi N. Bhuyan:
Optimistic Parallelism on GPUs. 3-18 - Swapnil Ghike, Ruben Gran, María Jesús Garzarán, David A. Padua:
Directive-Based Compilers for GPUs. 19-35 - Zhen Lin, Xiaopeng Gao, Han Wan, Bo Jiang:
GLES: A Practical GPGPU Optimizing Compiler Using Data Sharing and Thread Coarsening. 36-50 - Amit Sabne, Putt Sakdhnagool, Seyong Lee, Jeffrey S. Vetter:
Evaluating Performance Portability of OpenACC. 51-66 - Rengan Xu, Xiaonan Tian, Sunita Chandrasekaran, Yonghong Yan, Barbara M. Chapman:
NAS Parallel Benchmarks for GPGPUs Using a Directive-Based Programming Model. 67-81 - Qi Zhu, Bo Wu, Xipeng Shen, Li Shen, Zhiying Wang:
Understanding Co-run Degradations on Integrated Heterogeneous Processors. 82-97
Algorithms for Parallelism
- Daniel Brinkers, Ronald Veldema, Michael Philippsen:
Simultaneous Inspection: Hiding the Overhead of Inspector-Executor Style Dynamic Parallelization. 101-115 - Saeed Maleki, G. Carl Evans, David A. Padua:
Tiled Linear Algebra a System for Parallel Graph Algorithms. 116-130 - Michael Norrish, Michelle Mills Strout:
An Approach for Proving the Correctness of Inspector/Executor Transformations. 131-145 - William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather:
Fast Automatic Heuristic Construction Using Active Learning. 146-160 - Sunil Shrestha, Joseph B. Manzano, Andrés Márquez, John Feo, Guang R. Gao:
Jagged Tiling for Intra-tile Parallelism and Fine-Grain Multithreading. 161-175 - Mani Zandifar, Nathan L. Thomas, Nancy M. Amato, Lawrence Rauchwerger:
The stapl Skeleton Framework. 176-190
Compilers
- Barnaby Dalton, Gabriel Tanase, Michail Alvanos, Gheorghe Almási, Ettore Tiotto:
Memory Management Techniques for Exploiting RDMA in PGAS Languages. 193-207 - Murali Krishna Emani, Michael F. P. O'Boyle:
Change Detection Based Parallelism Mapping: Exploiting Offline Models and Online Adaptation. 208-223 - Pierre Guillou, Fabien Coelho, François Irigoin:
Automatic Streamization of Image Processing Applications. 224-238 - Tomohiro Hirano, Hideo Yamamoto, Shuhei Iizuka, Kohei Muto, Takashi Goto, Tamami Wake, Hiroki Mikami, Moriyuki Takamura, Keiji Kimura, Hironori Kasahara:
Evaluation of Automatic Power Reduction with OSCAR Compiler on Intel Haswell and ARM Cortex-A9 Multicores. 239-252 - Fahed Jubair, Okwan Kwon, Rudolf Eigenmann, Samuel P. Midkiff:
\pi Abstraction: Parallelism-Aware Array Data Flow Analysis for OpenMP. 253-267 - Andrew J. McPherson, Vijay Nagarajan, Marcelo Cintra:
Static Approximation of MPI Communication Graphs for Optimized Process Placement. 268-283 - Pushkar Ratnalikar, Arun Chauhan:
Automatic Parallelism Through Macro Dataflow in MATLAB. 284-299 - Kristian F. D. Rietveld, Harry A. G. Wijshoff:
Re-Engineering Compiler Transformations to Outperform Database Query Optimizers. 300-314
Debugging
- Diego Caminha Barbosa De Oliveira, Zvonimir Rakamaric, Ganesh Gopalakrishnan, Alan Humphrey, Qingyu Meng, Martin Berzins:
Systematic Debugging of Concurrent Systems Using Coalesced Stack Trace Graphs. 317-331 - Min Feng, Farzad Khorasani, Rajiv Gupta, Laxmi N. Bhuyan:
LightPlay: Efficient Replay with GPUs. 332-347
Vectorization
- Christopher Haine, Olivier Aumage, Enguerrand Petit, Denis Barthou:
Exploring and Evaluating Array Layout Restructuring for SIMDization. 351-366 - Ashay Rane, Rakesh Krishnaiyer, Chris J. Newburn, James C. Browne, Leonardo Fialho, Zakhar Matveev:
Unification of Static and Dynamic Analyses to Enable Vectorization. 367-381 - Shixiong Xu, David Gregg:
Efficient Exploitation of Hyper Loop Parallelism in Vectorization. 382-396
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