This was a two-page overview of my NSF-funded project Supercomputing on a Cluster of Workstations via Scalable Locality and Scalable Parallelism , presented as a poster session to the research community that focuses on Cluster Computing ; most of my prior discussions have been with members of the Programming Languages/Compilers community, but this work is relevant to both. The poster was presented by my student Mohamed Abdalkader
Improvements in parallel computing hardware usually involve increments in the number of available re...
Parallel computing platforms are increasingly complex, with multiple cores, shared caches, and NUMA ...
Clusters of Symmetrical Multiprocessor machines are increasingly becoming the norm for high performa...
Today there is an urgent need for algorithms, programming lan-guage systems and tools, and hardware ...
of the Dissertation A Compiler-Directed Distributed Shared Memory System by Manish Verma Doctor of...
Reductions matter and they are here to stay. Wide adoption of parallel processing hardware in a broa...
grantor: University of TorontoThis dissertation proposes and evaluates compiler techniques...
This work identifies practical compiling techniques for scalable shared memory machines. For this, w...
Technical ReportThis paper will discuss high performance clustering from a series of critical topics...
Parallel programming has become increasingly important both as a programming skill and as a research...
Large scale parallel simulations are fundamental tools for engineers and scientists. Consequently, i...
This paper describes the design and implementation of a scalable run-time system and an optimizing c...
SAC (Single Assignment C) is a purely functional, data-parallel array programming language that pred...
Workstation clusters have become an increasingly popular alternative to traditional parallel superco...
Parallel computing is regarded by most computer scientists as the most likely approach for significa...
Improvements in parallel computing hardware usually involve increments in the number of available re...
Parallel computing platforms are increasingly complex, with multiple cores, shared caches, and NUMA ...
Clusters of Symmetrical Multiprocessor machines are increasingly becoming the norm for high performa...
Today there is an urgent need for algorithms, programming lan-guage systems and tools, and hardware ...
of the Dissertation A Compiler-Directed Distributed Shared Memory System by Manish Verma Doctor of...
Reductions matter and they are here to stay. Wide adoption of parallel processing hardware in a broa...
grantor: University of TorontoThis dissertation proposes and evaluates compiler techniques...
This work identifies practical compiling techniques for scalable shared memory machines. For this, w...
Technical ReportThis paper will discuss high performance clustering from a series of critical topics...
Parallel programming has become increasingly important both as a programming skill and as a research...
Large scale parallel simulations are fundamental tools for engineers and scientists. Consequently, i...
This paper describes the design and implementation of a scalable run-time system and an optimizing c...
SAC (Single Assignment C) is a purely functional, data-parallel array programming language that pred...
Workstation clusters have become an increasingly popular alternative to traditional parallel superco...
Parallel computing is regarded by most computer scientists as the most likely approach for significa...
Improvements in parallel computing hardware usually involve increments in the number of available re...
Parallel computing platforms are increasingly complex, with multiple cores, shared caches, and NUMA ...
Clusters of Symmetrical Multiprocessor machines are increasingly becoming the norm for high performa...