Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hazem A. Abdelhafez"'
Autor:
Hazem A. Abdelhafez, Hassan Halawa, Amr Almoallim, Amirhossein Ahmadi, Karthik Pattabiraman, Matei Ripeanu
Publikováno v:
2022 IEEE/ACM 7th Symposium on Edge Computing (SEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8daea0fdf4a87d7c0cf81a27afe01cd
https://doi.org/10.1109/sec54971.2022.00016
https://doi.org/10.1109/sec54971.2022.00016
Publikováno v:
EdgeSys@EuroSys
While applications deployed at the edge often rely on performance stability (or, at a minimum, on a predictable level of performance), variability at the edge remains a real problem [4]. This study uncovers a surprising source of variability: intrins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af3c79c0c046429dde8d574547193533
https://doi.org/10.1145/3434770.3459729
https://doi.org/10.1145/3434770.3459729
Autor:
Matei Ripeanu, Hazem A. Abdelhafez
Publikováno v:
FMEC
Nowadays, heterogeneous unified memory architecture platforms are becoming increasingly common. These platforms incorporate several co-processors on a single chip with a shared physical memory. The use cases for such platforms can vary dramatically.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8ae905479f9274a3dbb340561c4ea4b
https://doi.org/10.1109/fmec.2019.8795334
https://doi.org/10.1109/fmec.2019.8795334
Publikováno v:
IPDPS Workshops
Starting with the Titan supercomputer (at the Oak Ridge Leadership Computing Facility, OLCF) in 2012, top supercomputers have Increasingly leveraged the performance of GPUs to support large-scale computational science. The current No. 1 machine, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84d2144a0364e690146a20c21f714c75
https://doi.org/10.1109/ipdpsw.2019.00103
https://doi.org/10.1109/ipdpsw.2019.00103
Publikováno v:
CCECE
In this paper, we introduce a token-based GPU scheduler that enhances the utilization of GPU usage in heterogeneous CPU/GPU big data cluster. The cluster is managed by a big data framework such as Hadoop, Spark, or Storm to provide the necessary proc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78caf6eaa45fab1ccb298c719416e952
https://doi.org/10.1109/ccece.2017.7946809
https://doi.org/10.1109/ccece.2017.7946809
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319642024
Euro-Par
Euro-Par
This study characterizes the NVIDIA Jetson TK1 and TX1 Platforms, both built on a NVIDIA Tegra System on Chip and combining a quad-core ARM CPU and an NVIDIA GPU. Their heterogeneous nature, as well as their wide operating frequency range, make it ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1514183ee0149e698124175b94706868
https://doi.org/10.1007/978-3-319-64203-1_7
https://doi.org/10.1007/978-3-319-64203-1_7
