Add to ORKGHigh performance computing is more than just raw FLOPS; it is also about managing the memory among parallel threads so as to keep the operands owing into the arithmetic units. In otherwords, in shared
Shared resource contention is a significant problem in multi-core systems and can have a negative im...
Task parallelism raises the level of abstraction in shared memory parallel programming to simplify t...
Shared memory models have been criticized for years for failing to model essential realities of para...
Abstract. We develop a new metric for job scheduling that in-cludes the effects of memory contention...
Data locality is a key factor for the performance of parallel systems. In a Distribute
hmultiprocessors (CMPs) containing two to eight cores with support for up to eight hardware thread c...
grantor: University of TorontoMultiprocessors are being used increasingly to support workl...
The multicore era has initiated a move to ubiquitous parallelization of software. In the process, co...
A chief characteristic of next-generation computing systems is the prevalence of parallelism at mult...
TreadMarks supports parallel computing on networks of workstations by providing the application with...
TreadMarks supports parallel computing on networks of workstations by providing the application with...
this paper, we show some performance results from an implemention of a data-parallel programming lan...
Highly parallel machines needed to solve compute intensive scientific applications are based on the ...
Database systems access memory either sequentially or randomly. Contrary to sequential access and de...
A fundamental problem of parallel computing is that applications often require large-size inst...
Shared resource contention is a significant problem in multi-core systems and can have a negative im...
Task parallelism raises the level of abstraction in shared memory parallel programming to simplify t...
Shared memory models have been criticized for years for failing to model essential realities of para...
Abstract. We develop a new metric for job scheduling that in-cludes the effects of memory contention...
Data locality is a key factor for the performance of parallel systems. In a Distribute
hmultiprocessors (CMPs) containing two to eight cores with support for up to eight hardware thread c...
grantor: University of TorontoMultiprocessors are being used increasingly to support workl...
The multicore era has initiated a move to ubiquitous parallelization of software. In the process, co...
A chief characteristic of next-generation computing systems is the prevalence of parallelism at mult...
TreadMarks supports parallel computing on networks of workstations by providing the application with...
TreadMarks supports parallel computing on networks of workstations by providing the application with...
this paper, we show some performance results from an implemention of a data-parallel programming lan...
Highly parallel machines needed to solve compute intensive scientific applications are based on the ...
Database systems access memory either sequentially or randomly. Contrary to sequential access and de...
A fundamental problem of parallel computing is that applications often require large-size inst...
Shared resource contention is a significant problem in multi-core systems and can have a negative im...
Task parallelism raises the level of abstraction in shared memory parallel programming to simplify t...
Shared memory models have been criticized for years for failing to model essential realities of para...