Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Kazuaki Ishizaki"'
Autor:
Michael J. Klaiber, George D. Gristede, Shih-Hsien Lo, Hiroshi Inoue, Leland Chang, Christos Vezyrtzis, Jungwook Choi, Gary W. Maier, Fanchieh Yee, Shubham Jain, Brian W. Curran, Jintao Zhang, Mingu Kang, Howard M. Haynie, Mauricio J. Serrano, Pong-Fei Lu, Silvia Melitta Mueller, Matthew M. Ziegler, Bruce M. Fleischer, Kazuaki Ishizaki, Kailash Gopalakrishnan, Michael R. Scheuermann, Ankur Agarwal, Xiao Sun, Sunil Shukla, Thomas W. Fox, Vijayalakshmi Srinivasan, Tina Babinsky, Swagath Venkataramani, Michael A. Guillorn, Ching Zhou, Nianzheng Cao, Eri Ogawa, Naigang Wang, Moriyoshi Ohara, Joel Abraham Silberman, Jinwook Oh, Marcel Schaal, Chia-Yu Chen, Wei Wang
Publikováno v:
Proceedings of the IEEE. 108:2232-2250
Advances in deep neural networks (DNNs) and the availability of massive real-world data have enabled superhuman levels of accuracy on many AI tasks and ushered the explosive growth of AI workloads across the spectrum of computing devices. However, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a039fc675f0bb5ab8047808cf3959486
https://doi.org/10.1109/jproc.2020.3029453
https://doi.org/10.1109/jproc.2020.3029453
Autor:
Scot H. Rider, Martin Lutz, Moriyoshi Ohara, Pong-Fei Lu, Monodeep Kar, Xiao Sun, Kailash Gopalakrishnan, Jie Yang, Hoang Tran, Wei Wang, Michael A. Guillorn, Marcel Schaal, Ankur Agrawal, Xin Zhang, Joel Abraham Silberman, Sunil Shukla, Nianzheng Cao, James Bonano, Zhibin Ren, Sanchari Sen, Siyu Koswatta, Kyu-hyoun Kim, Mingu Kang, Swagath Venkataramani, Eri Ogawa, Vijayalakshmi Srinivasan, Hiroshi Inoue, Matt Ziegler, Howard M. Haynie, Shubham Jain, Vinay Velji Shah, Allison Allain, Jintao Zhang, Matthew Cohen, Jungwook Choi, Kerstin Schelm, Jinwook Oh, Li Yulong, Chia-Yu Chen, Ching Zhou, Naigang Wang, Jinwook Jung, Sae Kyu Lee, Silvia Melitta Mueller, Kazuaki Ishizaki, Bruce M. Fleischer, Michael R. Scheuermann, Vidhi Zalani, Brian W. Curran, Leland Chang, Mauricio J. Serrano, Ashish Ranjan, Alberto Mannari, Robert Casatuta
Publikováno v:
ISCA
The growing prevalence and computational demands of Artificial Intelligence (AI) workloads has led to widespread use of hardware accelerators in their execution. Scaling the performance of AI accelerators across generations is pivotal to their succes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edc72fc1439c98a561b7e0104cf8a62a
https://doi.org/10.1109/isca52012.2021.00021
https://doi.org/10.1109/isca52012.2021.00021
Autor:
Leland Chang, Marcel Schaal, Mauricio J. Serrano, Eri Ogawa, Vijayalakshmi Srinivasan, Jintao Zhang, Moriyoshi Ohara, Kailash Gopalakrishnan, Swagath Venkataramani, Jungwook Choi, Wei Wang, Kazuaki Ishizaki, Hiroshi Inoue
Publikováno v:
IEEE Micro. 39:102-111
The ubiquitous adoption of systems specialized for AI requires bridging two seemingly conflicting challenges—the need to deliver extreme processing efficiencies while employing familiar programming interfaces, making them compelling even for non-ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::620e1aacd403ba9bbe1888be5d1d5604
https://doi.org/10.1109/mm.2019.2931584
https://doi.org/10.1109/mm.2019.2931584
Autor:
Kazuaki Ishizaki
Publikováno v:
ICPE
Big data processing frameworks have received attention because of the importance of high performance computation. They are expected to quickly process a huge amount of data in memory with a simple programming model in a cluster. Apache Spark is becom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10b62c074cf5a348ad61ce945d5e3954
https://doi.org/10.1145/3297663.3310300
https://doi.org/10.1145/3297663.3310300
Autor:
Kazuaki Ishizaki, Wei Wang, Moriyoshi Ohara, Vijayalakshmi Srinivasan, Jungwook Choi, Eri Ogawa, Hiroshi Inoue, Kailash Gopalakrishnan, Swagath Venkataramani
Publikováno v:
COOL CHIPS
This paper presents the design and implementation of a compiler for a deep neural network accelerator that provides high performance and energy efficiency. The compiler allows deep learning frameworks, such as TensorFlow, to exploit the accelerator h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a7051139025a207d2e29eaa7353e7ab
https://doi.org/10.1109/coolchips.2019.8721357
https://doi.org/10.1109/coolchips.2019.8721357
Publikováno v:
IPDPS
Apache Spark is a framework for distributed computing that supports the map-reduce programming model. The SQL module of Spark contains Datasets, i.e., distributed collections of records stored in a serialized low-level format in a manually managed ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0869a3df68c1a8ae26789804d5fa5e73
https://doi.org/10.1109/ipdps.2017.111
https://doi.org/10.1109/ipdps.2017.111
Autor:
Kazuaki Ishizaki, Eduard Ayguadé, Moriyoshi Ohara, Ahsan Javed Awan, Mats Brorsson, Vladimir Vlassov
Publikováno v:
MEMSYS
While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics for being a unified framework for both, batch and stream data processi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9ace3b9ddf3f3de20226911217db15b
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211727
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-211727
Autor:
Kazuaki Ishizaki
Publikováno v:
SEM4HPC@HPDC
Modern emerging workloads such as analytics, graph, and deep learning, rapidly appear. These are written by non-Ninja programmers. Modern hardware platforms are becoming complex due to deployments of hardware accelerators such as GPGPU and FPGA. It i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d4d0891c104ca2e8c2c75abddddf31b
https://doi.org/10.1145/2916026.2916032
https://doi.org/10.1145/2916026.2916032
Publikováno v:
PACT
GPUs can enable significant performance improvements for certain classes of data parallel applications and are widely used in recent computer systems. However, GPU execution currently requires explicit low-level operations such as 1) managing memory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44eef8cb3232f9904928572f8e4bfbbf
https://doi.org/10.1109/pact.2015.46
https://doi.org/10.1109/pact.2015.46
Publikováno v:
PPPJ
High-level languages such as Java increase both productivity and portability with productive language features such as managed runtime, type safety, and precise exception semantics. Additionally, Java 8 provides parallel stream APIs with lambda expre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a4ef29806f4c9db9234a9a51d1408df
https://doi.org/10.1145/2807426.2807429
https://doi.org/10.1145/2807426.2807429