Zobrazeno 1 - 10
of 345
pro vyhledávání: '"E, EICHENBERGER"'
Publikováno v:
The Journal of Heart and Lung Transplantation. 42:S126-S127
Autor:
Alexandre E. Eichenberger, Cristobal Ortega, Ramon Bertran, Marc Casas, Miquel Moreto, Pradip Bose, Lluc Alvarez, Alper Buyuktosunoglu
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Current microprocessors include several knobs to modify the hardware behavior in order to improve performance, power, and energy under different workload demands. An impractical and time consuming offline profiling is needed to evaluate the design sp
Publikováno v:
ACL
Transfer learning using ImageNet pre-trained models has been the de facto approach in a wide range of computer vision tasks. However, fine-tuning still requires task-specific training data. In this paper, we propose N3 (Neural Networks from Natural L
Autor:
Leopold Grinberg, Gheorghe-Teodor Bercea, Alexey Bataev, John Kevin Patrick O'Brien, Alexandre E. Eichenberger
Publikováno v:
IBM Journal of Research and Development. 64:13:1-13:14
Sierra and Summit supercomputers exhibit a significant amount of intranode parallelism between the host POWER9 CPUs and their attached GPU devices. In this article, we show that exploiting device-level parallelism is key to achieving high performance
Autor:
Carlo Bertolli, Alexey Bataev, Gheorghe-Teodor Bercea, John Kevin Patrick O'Brien, Alexandre E. Eichenberger
Publikováno v:
IBM Journal of Research and Development. 64:12:1-12:23
Programming models that use a higher level of abstraction to express parallelism can target both CPUs and any attached devices, alleviating the maintainability and portability concerns facing today's heterogenous systems. This article describes the d
Autor:
Carlo Bertolli, Hyojin Sung, Gheorghe-Teodor Bercea, Kevin O'Brien, Tian Jin, Georgios Rokos, Samuel Antao, Zehra Sura, Alexandre E. Eichenberger, Alexey Bataev, Tong Chen, Arpith C. Jacob
Publikováno v:
HiPC
Graphics Processing Units (GPUs) are increasingly used to accelerate portions of general-purpose applications. Higher level language extensions have been proposed to help non-experts bridge the gap between a host and the GPU's threading model. Recent
Autor:
Cristobal Ortega, Miquel Moreto, Pradip Bose, Alper Buyuktosunoglu, Alexandre E. Eichenberger, Marc Casas, Ramon Bertran
Publikováno v:
ICS
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Current microprocessors include several knobs to modify the hardware behavior in order to improve performance under different workload demands. An impractical and time consuming offline profiling is needed to evaluate the design space to find the opt
Autor:
Arpith C. Jacob, Tong Chen, Hyojin Sung, Alexey Bataev, Gheorghe-Teodor Bercea, Georgios Rokos, Carlo Bertolli, Alexandre E. Eichenberger, Kevin O'Brien
Publikováno v:
LLVM-HPC@SC
OpenMP is a shared memory programming model which supports the offloading of target regions to accelerators such as NVIDIA GPUs. The implementation in Clang/LLVM aims to deliver a generic GPU compilation toolchain that supports both the native CUDA C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec1469d07f332726914122594cfae2e8
Autor:
Samuel F. Antao, Alexey Bataev, Arpith C. Jacob, Gheorghe-Teodor Bercea, Alexandre E. Eichenberger, Georgios Rokos, Matt Martineau, Tian Jin, Guray Ozen, Zehra Sura, Tong Chen, Hyojin Sung, Carlo Bertolli, Kevin O'Brien
Publikováno v:
2016 Third Workshop on the LLVM Compiler Infrastructure in HPC (LLVM-HPC).
Publikováno v:
OpenMP: Memory, Devices, and Tasks ISBN: 9783319455495
IWOMP
IWOMP
OpenMP has become a successful programming model for developing multi-threaded applications. However, there are still some challenges in terms of OpenMP’s interoperability within itself and with other parallel programming APIs. In this paper, we ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::894208262a2e5bb6f832d1541d4493b8
https://doi.org/10.1007/978-3-319-45550-1_14
https://doi.org/10.1007/978-3-319-45550-1_14