Model for the maximal effective bandwidth of numerical models (lines = model prediction by Eq 12; symbols = measured maximal effective bandwidth; filled = f64; hollow = f32; black = CPU medium; red = CPU large; blue = GPU medium; magenta = GPU large).</p
<p>Figure shows the relative performance improvement of our GPU model with ...
[Other] Scalability performances of an optimization based parallel solver for large scale DFN simula...
The performance of the proposed model at two extreme thresholds with different sparsity.</p
Model for the effective bandwidth of element-wise operations (lines = model prediction by Eq 11; sym...
Relative efficiency of XLA for numerical models (hollow = f64; filled = f32; circles = HEAT1D; trian...
We introduce a novel methodology for the quantitative assessment of the effectiveness and portabilit...
<p>For our applications with different numbers # rs of representative sinusoids, the table lists the...
We develop a microbenchmark-based performance model for NVIDIA GeForce 200-series GPUs. Our model id...
textThis dissertation presents three modeling methodologies. The first methodology constructs power ...
(a) from bandwidth-benchmark on the PC. (b) CPU platform from bandwidth-benchmark for sequential 256...
A method is presented for modeling application performance on parallel computers in terms of the per...
Designing and optimizing high performance microprocessors is an increasingly difficult task due to t...
AbstractMemory system performance models have traditionally assumed that individual modules are inse...
The significant growth in computational power of mod-ern Graphics Processing Units(GPUs) coupled wit...
<p>Both the strongly connected and the weakly connected systems show a decrease in time per update a...
<p>Figure shows the relative performance improvement of our GPU model with ...
[Other] Scalability performances of an optimization based parallel solver for large scale DFN simula...
The performance of the proposed model at two extreme thresholds with different sparsity.</p
Model for the effective bandwidth of element-wise operations (lines = model prediction by Eq 11; sym...
Relative efficiency of XLA for numerical models (hollow = f64; filled = f32; circles = HEAT1D; trian...
We introduce a novel methodology for the quantitative assessment of the effectiveness and portabilit...
<p>For our applications with different numbers # rs of representative sinusoids, the table lists the...
We develop a microbenchmark-based performance model for NVIDIA GeForce 200-series GPUs. Our model id...
textThis dissertation presents three modeling methodologies. The first methodology constructs power ...
(a) from bandwidth-benchmark on the PC. (b) CPU platform from bandwidth-benchmark for sequential 256...
A method is presented for modeling application performance on parallel computers in terms of the per...
Designing and optimizing high performance microprocessors is an increasingly difficult task due to t...
AbstractMemory system performance models have traditionally assumed that individual modules are inse...
The significant growth in computational power of mod-ern Graphics Processing Units(GPUs) coupled wit...
<p>Both the strongly connected and the weakly connected systems show a decrease in time per update a...
<p>Figure shows the relative performance improvement of our GPU model with ...
[Other] Scalability performances of an optimization based parallel solver for large scale DFN simula...
The performance of the proposed model at two extreme thresholds with different sparsity.</p