<p>Both the strongly connected and the weakly connected systems show a decrease in time per update as the number of realizations is increased. This decrease flattens out, indicating saturation of the GPU computing power. The strongly connected system here had the number of species at <i>N</i> = 252 and the weakly connected system had <i>N</i> = 50, 000.</p
Sparse problems arise from a variety of applications, from scientific simulations to graph analytics...
Simulation speed matters for neuroscientific research: this includes not only how fast the simulated...
Coupling commodity CPUs and modern GPUs give you heterogeneous systems that are cheap, high-performa...
<p>In this test we used a data set with . We achieve a performance speedup that is slightly below li...
<p>A series of optimizations are compared in which the number of calculations (and thus the total ti...
<p>Figure shows the relative performance improvement of our GPU model with ...
<p>Synchronization performance for an emulation comprising between 4 and 19 interconnected LPUs sele...
International audienceWe show that most performance improvements in GPUs increase the number of exec...
<p>Left panel: For the first five environments the neurogenesis algorithm reduces the recoding error...
<p>The number of output ports was varied over 25 equally spaced values between 50 and 15,000. The pl...
<p>Combined execution times in s for serial and parallel implementations of k-nearest neighbor and r...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Abstract—Graphics processing units (GPUs) provide an order-of-magnitude improvement on peak performa...
Concurrency is pervasive and perplexing, particularly on graphics processing units (GPUs). Current s...
Sparse problems arise from a variety of applications, from scientific simulations to graph analytics...
Sparse problems arise from a variety of applications, from scientific simulations to graph analytics...
Simulation speed matters for neuroscientific research: this includes not only how fast the simulated...
Coupling commodity CPUs and modern GPUs give you heterogeneous systems that are cheap, high-performa...
<p>In this test we used a data set with . We achieve a performance speedup that is slightly below li...
<p>A series of optimizations are compared in which the number of calculations (and thus the total ti...
<p>Figure shows the relative performance improvement of our GPU model with ...
<p>Synchronization performance for an emulation comprising between 4 and 19 interconnected LPUs sele...
International audienceWe show that most performance improvements in GPUs increase the number of exec...
<p>Left panel: For the first five environments the neurogenesis algorithm reduces the recoding error...
<p>The number of output ports was varied over 25 equally spaced values between 50 and 15,000. The pl...
<p>Combined execution times in s for serial and parallel implementations of k-nearest neighbor and r...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Abstract—Graphics processing units (GPUs) provide an order-of-magnitude improvement on peak performa...
Concurrency is pervasive and perplexing, particularly on graphics processing units (GPUs). Current s...
Sparse problems arise from a variety of applications, from scientific simulations to graph analytics...
Sparse problems arise from a variety of applications, from scientific simulations to graph analytics...
Simulation speed matters for neuroscientific research: this includes not only how fast the simulated...
Coupling commodity CPUs and modern GPUs give you heterogeneous systems that are cheap, high-performa...
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