Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ojika David"'
Autor:
Jiang Chao, Ojika David, Vallecorsa Sofia, Kurth Thorsten, Prabhat, Patel Bhavesh, Lam Herman
Publikováno v:
EPJ Web of Conferences, Vol 245, p 09014 (2020)
AI and deep learning are experiencing explosive growth in almost every domain involving analysis of big data. Deep learning using Deep Neural Networks (DNNs) has shown great promise for such scientific data analysis applications. However, traditional
Externí odkaz:
https://doaj.org/article/de7272a7c07e440b956477e63fc61bda
Publikováno v:
EPJ Web of Conferences, Vol 214, p 07029 (2019)
Field-programmable gate arrays (FPGAs) have largely been used in communication and high-performance computing and given the recent advances in big data and emerging trends in cloud computing (e.g., serverless [18]), FPGAs are increasingly being intro
Externí odkaz:
https://doaj.org/article/9d2826f73cf44453b87ab3a71c24e619
By providing highly efficient one-sided communication with globally shared memory space, Partitioned Global Address Space (PGAS) has become one of the most promising parallel computing models in high-performance computing (HPC). Meanwhile, FPGA is ge
Externí odkaz:
http://arxiv.org/abs/2207.04625
Developing nations are particularly susceptible to the adverse effects of global warming. By 2040, 14 percent of global emissions will come from data centers. This paper presents early findings in the use AI and digital twins to model and optimize da
Externí odkaz:
http://arxiv.org/abs/2109.04067
Using medical imaging as case-study, we demonstrate how Intel-optimized TensorFlow on an x86-based server equipped with 2nd Generation Intel Xeon Scalable Processors with large system memory allows for the training of memory-intensive AI/deep-learnin
Externí odkaz:
http://arxiv.org/abs/2003.08732
Autor:
Doglioni, C., Kim, D., Stewart, G.A., Silvestris, L., Jackson, P., Kamleh, W., Jiang, Chao, Ojika, David, Vallecorsa, Sofia, Kurth, Thorsten, Prabhat, Patel, Bhavesh, Lam, Herman
Publikováno v:
EPJ Web of Conferences; 11/16/2020, Vol. 245, p1-10, 10p
SCAIGATE is an ambitious project to design the first artificial intelligence (AI)-centric science gateway based on field-programmable gate arrays (FPGAs). The goal is to democratize access to FPGAs and AI in scientific computing and related applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19edb2a9f07aca6dcba2a8920c625041