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» Runtime Code Parallelization for On-Chip Multiprocessors
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ICPP
2000
IEEE
13 years 9 months ago
Match Virtual Machine: An Adaptive Runtime System to Execute MATLAB in Parallel
MATLAB is one of the most popular languages for desktop numerical computations as well as for signal and image processing applic ations. Applying parallel processing techniques to...
Malay Haldar, Anshuman Nayak, Abhay Kanhere, Pramo...
HPCA
2007
IEEE
14 years 5 months ago
Evaluating MapReduce for Multi-core and Multiprocessor Systems
This paper evaluates the suitability of the MapReduce model for multi-core and multi-processor systems. MapReduce was created by Google for application development on data-centers...
Colby Ranger, Ramanan Raghuraman, Arun Penmetsa, G...
PPOPP
2010
ACM
14 years 2 months ago
Lazy binary-splitting: a run-time adaptive work-stealing scheduler
We present Lazy Binary Splitting (LBS), a user-level scheduler of nested parallelism for shared-memory multiprocessors that builds on existing Eager Binary Splitting work-stealing...
Alexandros Tzannes, George C. Caragea, Rajeev Baru...
PPOPP
2009
ACM
14 years 6 months ago
Serialization sets: a dynamic dependence-based parallel execution model
This paper proposes a new parallel execution model where programmers augment a sequential program with pieces of code called serializers that dynamically map computational operati...
Matthew D. Allen, Srinath Sridharan, Gurindar S. S...
ISHPC
2003
Springer
13 years 10 months ago
Code and Data Transformations for Improving Shared Cache Performance on SMT Processors
Simultaneous multithreaded processors use shared on-chip caches, which yield better cost-performance ratios. Sharing a cache between simultaneously executing threads causes excessi...
Dimitrios S. Nikolopoulos