Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Mert Hidayetoglu"'
Autor:
Doga Gursoy, Simon Garcia de Gonzalo, Rajkumar Kettimuthu, Wen-mei W. Hwu, Ian Foster, Mert Hidayetoglu, Tekin Bicer, Bin Ren
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:2014-2031
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Autor:
Rashid Tahir, Wen-mei W. Hwu, Fareed Zaffar, Sultan Durrani, Mert Hidayetoglu, Muhammad Saad Chughtai, Lawrence Rauchwerger, Abdul Dakkak
Publikováno v:
PACT
The discrete Fourier transform (DFT) and its specialized case, the number theoretic transform (NTT), are two important mathematical tools having applications in several areas of science and engineering. However, despite their usefulness and utility,
Publikováno v:
IEEE Transactions on Antennas and Propagation. 66:7477-7482
It is well known that Green’s function can be expressed by multipole expansion, plane-wave expansion, and exponential expansion (spectral representation). These three expansions constitute of the foundations of the fast multipole algorithm (FMA). T
Autor:
Kun Wu, Wen-mei W. Hwu, Eiman Ebrahimi, Mert Hidayetoglu, Seungwon Min, Sitao Huang, Deming Chen, Jinjun Xiong
Graph Convolutional Networks (GCNs) are increasingly adopted in large-scale graph-based recommender systems. Training GCN requires the minibatch generator traversing graphs and sampling the sparsely located neighboring nodes to obtain their features.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a09b0218295585f51b97fbd4152ca6c
Autor:
Vikram Sharma Mailthody, Carl Pearson, Mert Hidayetoglu, Wen-mei W. Hwu, Eiman Ebrahimi, Jinjun Xiong, Rakesh Nagi
Publikováno v:
HPEC
This paper presents GPU performance optimization and scaling results for inference models of the Sparse Deep Neural Network Challenge 2020. Demands for network quality have increased rapidly, pushing the size and thus the memory requirements of many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd2daa876b1cbd0f469f48aca37e021c
http://arxiv.org/abs/2007.14152
http://arxiv.org/abs/2007.14152
Autor:
Mert Hidayetoglu, Wen-mei W. Hwu, Mohammad Almasri, Carl Pearson, I-Hsin Chung, Omer Anjum, Jinjun Xiong
Publikováno v:
IPDPS Workshops
High-performance distributed computing systems increasingly feature nodes that have multiple CPU sockets and multiple GPUs. The communication bandwidth between these components is non-uniform. Furthermore, these systems can expose different communica
Autor:
Tekin Bicer, Mert Hidayetoglu, Ian Foster, Doga Gursoy, Simon Garcia de Gonzalo, Wen-mei W. Hwu, Bin Ren, Rajkumar Kettimuthu
Publikováno v:
SC
X-ray computed tomography (XCT)is used regularly at synchrotron light sources to study the internal morphology of materials at high resolution. However, experimental constraints, such as radiation sensitivity, can result in noisy or undersampled meas
Publikováno v:
HPCC/SmartCity/DSS
Stencils are a family of widely used computational patterns that play a critical role in various scientific and engineering applications. Stencil computations are known to be memory-bandwidth bound, thus a number of different techniques and algorithm
Autor:
Mert Hidayetoglu, Qin S. Liu, Tian Xia, Sheng Sun, Hui Gan, Weng Cho Chew, Li Jun Jiang, Shu C. Chen, Wen-mei W. Hwu, Aiyin Liu, Thomas E. Roth, Qi I. Dai
Publikováno v:
New Trends in Computational Electromagnetics ISBN: 9781785615481
Electromagnetics is based on the study of Maxwell's equations, which are the result of the seminal work of James Clerk Maxwell completed in 1865, after his presentation to the British Royal Society in 1864. It has been over 150 years ago now, and thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::569e9cf1b0f5ddf28fd285a2d2d8f88c
https://doi.org/10.1049/sbew533e_ch2
https://doi.org/10.1049/sbew533e_ch2