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ICFP
2012
ACM
9 years 2 months ago
Nested data-parallelism on the gpu
Graphics processing units (GPUs) provide both memory bandwidth and arithmetic performance far greater than that available on CPUs but, because of their Single-Instruction-Multiple...
Lars Bergstrom, John H. Reppy
MICRO
2012
IEEE
285views Hardware» more  MICRO 2012»
9 years 2 months ago
Automatic Extraction of Coarse-Grained Data-Flow Threads from Imperative Programs
This article presents a general algorithm for transforming sequential imperative programs into parallel data-flow programs. Our algorithm operates on a program dependence graph i...
Feng Li, Antoniu Pop, Albert Cohen
PLDI
2012
ACM
9 years 2 months ago
Effective parallelization of loops in the presence of I/O operations
Software-based thread-level parallelization has been widely studied for exploiting data parallelism in purely computational loops to improve program performance on multiprocessors...
Min Feng, Rajiv Gupta, Iulian Neamtiu
PPOPP
2012
ACM
9 years 7 months ago
Synchronization views for event-loop actors
The actor model has already proven itself as an interesting concurrency model that avoids issues such as deadlocks and race conditions by construction, and thus facilitates concur...
Joeri De Koster, Stefan Marr, Theo D'Hondt
SIGMOD
2011
ACM
171views Database» more  SIGMOD 2011»
10 years 2 months ago
BRRL: a recovery library for main-memory applications in the cloud
In this demonstration we present BRRL, a library for making distributed main-memory applications fault tolerant. BRRL is optimized for cloud applications with frequent points of c...
Tuan Cao, Benjamin Sowell, Marcos Antonio Vaz Sall...
PROCEDIA
2011
10 years 2 months ago
A Multilevel Parallelism Support for Multi-Physics Coupling
A new challenge in scientific computing is to merge existing simulation models to create new higher fidelity combined (often multi-level) models. While this challenge has been a...
Fang Liu, Masha Sosonkina
PLDI
2011
ACM
10 years 2 months ago
The tao of parallelism in algorithms
For more than thirty years, the parallel programming community has used the dependence graph as the main abstraction for reasoning about and exploiting parallelism in “regular...
Keshav Pingali, Donald Nguyen, Milind Kulkarni, Ma...
PLDI
2011
ACM
10 years 2 months ago
Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors
MATLAB is an array language, initially popular for rapid prototyping, but is now being increasingly used to develop production code for numerical and scientific applications. Typ...
Ashwin Prasad, Jayvant Anantpur, R. Govindarajan
JPDC
2011
137views more  JPDC 2011»
10 years 2 months ago
Transparent runtime parallelization of the R scripting language
Scripting languages such as R and Matlab are widely used in scientific data processing. As the data volume and the complexity of analysis tasks both grow, sequential data process...
Jiangtian Li, Xiaosong Ma, Srikanth B. Yoginath, G...
BCB
2010
156views Bioinformatics» more  BCB 2010»
10 years 6 months ago
Accelerating HMMER on GPUs by implementing hybrid data and task parallelism
Many biologically motivated problems are expressed as dynamic programming recurrences and are difficult to parallelize due to the intrinsic data dependencies in their algorithms. ...
Narayan Ganesan, Roger D. Chamberlain, Jeremy Buhl...
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