<p>Figure shows the relative performance improvement of our GPU model with respect to a similar Python implementation using numpy's BLAS implementation. Relative performance refers to the percentage increase in performance by considering the absolute timings of the two implementations over an entire simulation. The horizontal axis indicates <b>Ind_total</b>, that is the total number of independent trials which in this case represents independent animats (rather than animats in different configurations). A: Represents the case for our ...
<p>A series of optimizations are compared in which the number of calculations (and thus the total ti...
<p>Computation time of the OSEM algorithm (in seconds) and speedup by the GPU implementation based o...
Simulations are indispensable for engineering. They make it possible that one can perform fa...
<p>Figure shows the performance profile of our GPU implementation with r...
<p>Both the strongly connected and the weakly connected systems show a decrease in time per update a...
<p>In this test we used a data set with . We achieve a performance speedup that is slightly below li...
<p>speedup<sup>a</sup>: speedup factor per EM loop ; speedup<sup>b</sup>: speedup factor of total ex...
<p>(A) The second order component of a cell’s response is modeled as a linear weighting of pairwise ...
Automated code generation and performance tuning tech-niques for concurrent architectures such as GP...
Performance analysis is a daunting job, especially for the rapid-evolving accelerator technologies. ...
This dataset contains the execution time of four BLAS Level 1 operations - ASUM, DOT, SCAL and AXPY ...
Relative efficiency of XLA for numerical models (hollow = f64; filled = f32; circles = HEAT1D; trian...
<p>Panels A–C (left column) show the average performance of 16 anima...
A: Computational cost per time step per particle for varying number of particles, varying cutoff dis...
<p>The GPU computing efficiency of the three different thread arrangements in comparison with the or...
<p>A series of optimizations are compared in which the number of calculations (and thus the total ti...
<p>Computation time of the OSEM algorithm (in seconds) and speedup by the GPU implementation based o...
Simulations are indispensable for engineering. They make it possible that one can perform fa...
<p>Figure shows the performance profile of our GPU implementation with r...
<p>Both the strongly connected and the weakly connected systems show a decrease in time per update a...
<p>In this test we used a data set with . We achieve a performance speedup that is slightly below li...
<p>speedup<sup>a</sup>: speedup factor per EM loop ; speedup<sup>b</sup>: speedup factor of total ex...
<p>(A) The second order component of a cell’s response is modeled as a linear weighting of pairwise ...
Automated code generation and performance tuning tech-niques for concurrent architectures such as GP...
Performance analysis is a daunting job, especially for the rapid-evolving accelerator technologies. ...
This dataset contains the execution time of four BLAS Level 1 operations - ASUM, DOT, SCAL and AXPY ...
Relative efficiency of XLA for numerical models (hollow = f64; filled = f32; circles = HEAT1D; trian...
<p>Panels A–C (left column) show the average performance of 16 anima...
A: Computational cost per time step per particle for varying number of particles, varying cutoff dis...
<p>The GPU computing efficiency of the three different thread arrangements in comparison with the or...
<p>A series of optimizations are compared in which the number of calculations (and thus the total ti...
<p>Computation time of the OSEM algorithm (in seconds) and speedup by the GPU implementation based o...
Simulations are indispensable for engineering. They make it possible that one can perform fa...