This paper reviews some important issues for scalability\ud in programming and future trend with many-core technology.\ud According some experimental results of different parallel\ud programs, such as fast Fourier transform and Unbalanced\ud Tree Search and on twelve cores of a parallel computer, we\ud identified two issues that should be concerned in programming\ud the many-core processor, and . The issues are efficiency, loadimbalance.\ud Low efficiency of parallel program makes scalability\ud of parallel program low. Although we could make program to\ud be efficient by making its granularity coarse, load imbalance\ud usually occurs. In addition, it sometimes not only the small\ud task granularity will result in low efficiency, but it als...
Many-Task Computing (MTC) is a common scenario for multiple parallel systems, such as cluster, grids...
Modern multicore and manycore systems enjoy the benefits of technology scaling and promise impressiv...
Ensuring the continuous scaling of parallel applications is challenging on many-core processors, due...
International audienceThis paper presents a new method to parallelize programs, adapted to manycore ...
International audience—Estimating the potential performance of parallel applications on the yet-to-b...
International audience—Estimating the potential performance of parallel applications on the yet-to-b...
Multi-core processors have become the dominant processor architecture with 2, 4, and 8 cores on a ch...
Heterogeneous many-cores are now an integral part of modern computing systems ranging from embedding...
Many-core architectures face significant hurdles to successful adoption by ISVs, and ultimately, the...
Common many-core processors contain tens of cores and distributed memory. Compared to a multicore sy...
Many and multicore architectures put a big pressure in parallel programming but gives a unique oppor...
Over the last three decades, computer architects have been able to achieve an increase in performanc...
Common many-core processors contain tens of cores and distributed memory. Compared to a multicore sy...
Computing has moved away from a focus on performance-centric serial computation, instead towards ene...
With increasing use of computers that employ many independent processing units, commercial and techn...
Many-Task Computing (MTC) is a common scenario for multiple parallel systems, such as cluster, grids...
Modern multicore and manycore systems enjoy the benefits of technology scaling and promise impressiv...
Ensuring the continuous scaling of parallel applications is challenging on many-core processors, due...
International audienceThis paper presents a new method to parallelize programs, adapted to manycore ...
International audience—Estimating the potential performance of parallel applications on the yet-to-b...
International audience—Estimating the potential performance of parallel applications on the yet-to-b...
Multi-core processors have become the dominant processor architecture with 2, 4, and 8 cores on a ch...
Heterogeneous many-cores are now an integral part of modern computing systems ranging from embedding...
Many-core architectures face significant hurdles to successful adoption by ISVs, and ultimately, the...
Common many-core processors contain tens of cores and distributed memory. Compared to a multicore sy...
Many and multicore architectures put a big pressure in parallel programming but gives a unique oppor...
Over the last three decades, computer architects have been able to achieve an increase in performanc...
Common many-core processors contain tens of cores and distributed memory. Compared to a multicore sy...
Computing has moved away from a focus on performance-centric serial computation, instead towards ene...
With increasing use of computers that employ many independent processing units, commercial and techn...
Many-Task Computing (MTC) is a common scenario for multiple parallel systems, such as cluster, grids...
Modern multicore and manycore systems enjoy the benefits of technology scaling and promise impressiv...
Ensuring the continuous scaling of parallel applications is challenging on many-core processors, due...