Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ahmed Sanaullah"'
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S18, Pp 19-31 (2018)
Abstract Background Real-time analysis of patient data during medical procedures can provide vital diagnostic feedback that significantly improves chances of success. With sensors becoming increasingly fast, frameworks such as Deep Neural Networks ar
Externí odkaz:
https://doaj.org/article/dfd9db05ddff4cf89cd9978eef71f662
Autor:
Christophe Bobda, Joel Mandebi Mbongue, Paul Chow, Mohammad Ewais, Naif Tarafdar, Juan Camilo Vega, Ken Eguro, Dirk Koch, Suranga Handagala, Miriam Leeser, Martin Herbordt, Hafsah Shahzad, Peter Hofste, Burkhard Ringlein, Jakub Szefer, Ahmed Sanaullah, Russell Tessier
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 15:1-42
In this article, we survey existing academic and commercial efforts to provide Field-Programmable Gate Array (FPGA) acceleration in datacenters and the cloud. The goal is a critical review of existing systems and a discussion of their evolution from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1d4904353f4c4b043e4a175a3ac0edd
https://doi.org/10.1145/3506713
https://doi.org/10.1145/3506713
Autor:
Hafsah Shahzad, Ahmed Sanaullah, Sanjay Arora, Robert Munafo, Xiteng Yao, Ulrich Drepper, Martin Herbordt
Publikováno v:
2022 IEEE/ACM Eighth Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d8db9a29b2129c1df2750a564cc30b5
https://doi.org/10.1109/llvm-hpc56686.2022.00007
https://doi.org/10.1109/llvm-hpc56686.2022.00007
Publikováno v:
2022 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e3cebc63ee93fa38f0a279f35e36181
https://doi.org/10.1109/h2rc56700.2022.00006
https://doi.org/10.1109/h2rc56700.2022.00006
Publikováno v:
2021 IEEE High Performance Extreme Computing Conference (HPEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::143b07898e22f680f72c0a9da5a424a3
https://doi.org/10.1109/hpec49654.2021.9622807
https://doi.org/10.1109/hpec49654.2021.9622807
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S18, Pp 19-31 (2018)
BMC Bioinformatics
BMC Bioinformatics
Background Real-time analysis of patient data during medical procedures can provide vital diagnostic feedback that significantly improves chances of success. With sensors becoming increasingly fast, frameworks such as Deep Neural Networks are require
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66662e681f7e73a8408266459fc65402
http://link.springer.com/article/10.1186/s12859-018-2505-7
http://link.springer.com/article/10.1186/s12859-018-2505-7
Autor:
Rushi Patel, Martin C. Herbordt, Chen Yang, Jiayi Sheng, Tong Geng, Qingqing Xiong, Vipin Sachdeva, Charles Y. Lin, Ahmed Sanaullah, Woody Sherman, Tianqi Wang, Chunshu Wu
Publikováno v:
SC
The implementation of Molecular Dynamics (MD) on FPGAs has received substantial attention. Previous work, however, has consisted of either proof-of-concept implementations of components, usually the range-limited force; full systems, but with much of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2dcd13f0e70cb3ee5f94663e26b5c22d
https://doi.org/10.1145/3295500.3356179
https://doi.org/10.1145/3295500.3356179
Publikováno v:
HPEC
Production FPGA implementations of Multi-Layer Perceptron (MLP) inference typically address the growing performance demands by, (i) to address memory boundedness, storing neuron weights on-chip, e.g., Microsoft Brainwave, and, (ii) to address compute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92c912493f43f1f5a98ce98e9bf6f2b3
https://doi.org/10.1109/hpec.2018.8547521
https://doi.org/10.1109/hpec.2018.8547521
Publikováno v:
HPEC
We describe a progressive philosophy to help benchmark systems and designs in the High Performance Computing (HPC) domain. These systems now include heterogeneous multi-node systems where nodes can include combinations of CPUs, GPUs, FPGAs, and other
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fb82dc9566dbfc3930fe1bc8e19292b
https://doi.org/10.1109/hpec.2018.8547635
https://doi.org/10.1109/hpec.2018.8547635
Autor:
Ahmed Sanaullah, Martin C. Herbordt
Publikováno v:
HPEC
Improved support for OpenCL has been an important step towards the mainstream adoption of FPGAs as compute resources. Current research has shown, however, that programmability derived from use of OpenCL typically comes at a significant expense of per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a88aaf91d55f3db17f233e3786d1e030
https://doi.org/10.1109/hpec.2018.8547646
https://doi.org/10.1109/hpec.2018.8547646