version 9.6.0 (2019a Search Results


version 9.6.0 (2019a)  (MathWorks Inc)
90
MathWorks Inc version 9.6.0 (2019a)
Version 9.6.0 (2019a), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/version 9.6.0 (2019a)/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
version 9.6.0 (2019a) - by Bioz Stars, 2026-03
90/100 stars
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version 9.6.0 (2019a  (MathWorks Inc)
90
MathWorks Inc version 9.6.0 (2019a
Version 9.6.0 (2019a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/version 9.6.0 (2019a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
version 9.6.0 (2019a - by Bioz Stars, 2026-03
90/100 stars
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gpupanda  (MathWorks Inc)
90
MathWorks Inc gpupanda
Runtime and cost performance of <t>gpuPANDA</t> in the small network. (A ). Runtime (first row) and cost (second row) fold change between CPU1, CPU2, GPU2, and GPU3. The results are reported as CPU/GPU fold change, therefore, a fold change larger than 1 indicates a decrease of cost or runtime using GPU. Conversely, a fold change less than 1 indicates an increase in cost or runtime using GPU. ( B ). Rate of cost fold change as an effect of runtime fold change in the small network in single and double precision. The blue area represents the case when CPU/GPU fold change is less than 1 indicating an increase in cost and/or runtime of GPU computation over CPU.
Gpupanda, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/gpupanda/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
gpupanda - by Bioz Stars, 2026-03
90/100 stars
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Runtime and cost performance of gpuPANDA in the small network. (A ). Runtime (first row) and cost (second row) fold change between CPU1, CPU2, GPU2, and GPU3. The results are reported as CPU/GPU fold change, therefore, a fold change larger than 1 indicates a decrease of cost or runtime using GPU. Conversely, a fold change less than 1 indicates an increase in cost or runtime using GPU. ( B ). Rate of cost fold change as an effect of runtime fold change in the small network in single and double precision. The blue area represents the case when CPU/GPU fold change is less than 1 indicating an increase in cost and/or runtime of GPU computation over CPU.

Journal: NAR Genomics and Bioinformatics

Article Title: gpuZoo: Cost-effective estimation of gene regulatory networks using the Graphics Processing Unit

doi: 10.1093/nargab/lqac002

Figure Lengend Snippet: Runtime and cost performance of gpuPANDA in the small network. (A ). Runtime (first row) and cost (second row) fold change between CPU1, CPU2, GPU2, and GPU3. The results are reported as CPU/GPU fold change, therefore, a fold change larger than 1 indicates a decrease of cost or runtime using GPU. Conversely, a fold change less than 1 indicates an increase in cost or runtime using GPU. ( B ). Rate of cost fold change as an effect of runtime fold change in the small network in single and double precision. The blue area represents the case when CPU/GPU fold change is less than 1 indicating an increase in cost and/or runtime of GPU computation over CPU.

Article Snippet: This hybrid structure provides two levels of parallelism that ensures message passing of the computed results between non-shared memory processes and within each CUDA process. gpuZoo which consists of gpuPANDA and gpuLIONESS was implemented in MATLAB (2019a, version 9.6.0, The MathWorks Inc., Natick, MA, USA) as part of the netZooM package ( https://github.com/netZoo/netZooM; version 0.5.2) and in Python (version 3.7) as part of the netZooPy package ( https://github.com/netZoo/netZooPy; version 0.6.2).

Techniques: