Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Erich Elsen"'
Publikováno v:
SC
Scientific workloads have traditionally exploited high levels of sparsity to accelerate computation and reduce memory requirements. While deep neural networks can be made sparse, achieving practical speedups on GPUs is difficult because these applica
Publikováno v:
CVPR
Historically, the pursuit of efficient inference has been one of the driving forces behind research into new deep learning architectures and building blocks. Some recent examples include: the squeeze-and-excitation module, depthwise separable convolu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de216bf05792713bbad0758b7e67108a
http://arxiv.org/abs/1911.09723
http://arxiv.org/abs/1911.09723
Publikováno v:
Journal of Computational Physics. 227:10148-10161
Graphics processing units are capable of impressive computing performance up to 518Gflops peak performance. Various groups have been using these processors for general purpose computing; most efforts have focussed on demonstrating relatively basic ca
Publikováno v:
Journal of the Mechanics and Physics of Solids. 56:3242-3258
We present a unified approach for atomistic modeling of torsion and bending of nanowires that is free from artificial end effects. Torsional and bending periodic boundary conditions (t-PBC and b-PBC) are formulated by generalizing the conventional pe
Autor:
Karthik Duraisamy, Alex Aiken, Pat Hanrahan, Montserrat Medina, Stephen Oakley, Frank Ham, Juan J. Alonso, Mike Barrientos, Eric Darve, Francisco Palacios, Niels Joubert, Erich Elsen, Zachary DeVito
Publikováno v:
SC
Heterogeneous computers with processors and accelerators are becoming widespread in scientific computing. However, it is difficult to program hybrid architectures and there is no commonly accepted programming model. Ideally, applications should be wr
Publikováno v:
SPIE Proceedings.
A new modeling technique to accurately represent the mask and wafer process behavior is presented. The lithography simulation can be done in three steps: i) mask simulation, ii) latent image calculations and iii) resist process simulation. The leadin
Autor:
Ahmet Karakas, Brandon Bremen, Erich Elsen, Ilhami H. Torunoglu, Curtis Andrus, Pururav Thoutireddy
Publikováno v:
SPIE Proceedings.
A computational lithography solution addressing accuracy, speed and affordability requirements is presented. In particular, the cost of computational hardware should be affordable and that the speed and accuracy of the algorithm should be sufficient
Publikováno v:
SPIE Proceedings.
A simultaneous optimization of source and mask with full-chip capability is presented. To provide full-chip processing capability, the solution is intentionally based on GPUs as well as CPUs and made scalable to large clusters while maintaining conve
Autor:
Brandon Bremen, Ahmet Karakas, Erich Elsen, Ilhami H. Torunoglu, P. Jeffrey Ungar, Curtis Andrus, Boris Dimitrov
Publikováno v:
SPIE Proceedings.
An inverse lithography solution based on optimization is presented. The optimization approach, in effect, operates as an inverse lithography tool, based on modeling and simulation of the manufacturing process. Given the associated computational requi
Publikováno v:
SC
Commercial graphics processors (GPUs) have high compute capacity at very low cost, which makes them attractive for general purpose scientic computing. In this poster we show how graphics processors can be used for N-body simulations to obtain large i