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Search Results for 'Gpu-Performance-Optimisation'
Gpu-Performance-Optimisation published presentations and documents on DocSlides.
Optimal Power Allocation for Multiprogrammed Workloads on
by debby-jeon
Single-chip Heterogeneous Processors. Euijin Kwon...
Mapping Irregular
by giovanna-bartolotta
Computations . to GPUs. Graphics processors (GPUs...
Optimizing Similarity Computations for Ontology Matching -
by myesha-ticknor
from . GOMMA. Michael . Hartung. , Lars Kolb, . A...
FAT-GPU: Formal Analysis Techniques for GPU Kernels
by marina-yarberry
Alastair Donaldson. Imperial College London. www....
GPU-Efficient Recursive Filtering and Summed-Area Tables
by yoshiko-marsland
D. Nehab. 1. A. Maximo. 1. R. S. Lima. ...
GPU-Efficient Recursive Filtering and Summed-Area Tables
by stefany-barnette
D. Nehab. 1. A. Maximo. 1. R. S. Lima. ...
MAGMA (Matrix Algebra on GPU and Multicore Architectures) is a collect
by cheryl-pisano
1 GPU 2 GPUs MKLMATRIX SIZE GPUIntel Xeon ES-2670 ...
Stadium
by giovanna-bartolotta
H. ashing: . Scalable and Flexible Hashing on GPU...
GPU Computing with
by giovanna-bartolotta
OpenACC. Directives. subroutine . saxpy. (n, a, ...
Fine-grain Task Aggregation and Coordination on GPUs
by danika-pritchard
Marc S. Orr. †§. , Bradford M. Beckmann. §. ,...
CPU/GPU
by alexa-scheidler
を協調利用する. ソフトウェア開発...
Simulation of Fluids using the
by debby-jeon
Navier. -Stokes Equations . Kartik. . Ramakrishn...
More Charm++/TAU examples
by yoshiko-marsland
Applications:. NAMD. Parallel Framework for Unstr...
GPU Computing with CUDA
by tawny-fly
© Dan Negrut, . 2012. UW-Madison. Dan Negrut. Si...
SE263 Video Analytics
by marina-yarberry
Course Project Initial Report. Presented by M. . ...
Parallelizing and Optimizing Programs for GPU Acceleration
by olivia-moreira
Martin Burtscher. Department of Computer Science....
ATTILA A. YAVUZ (OREGON STATE UNIVERSITY)
by alida-meadow
IOANNIS PAPAPANAGIOTOU, PHD. ANAND MUDGERIKAR, ...
INF5063 – GPU & CUDA
by tatyana-admore
Håkon Kvale . Stensland. iAD-lab, Department for...
PTask
by faustina-dinatale
: Operating System Abstractions to Manage GPUs as...
Miao Yu
by natalia-silvester
, Virgil D. Gligor, and . Zongwei. Zhou. CyLab. ...
GPU-Based Top-K Query Processing Efficient
by alexa-scheidler
GPU-Based Top-K Query Processing Efficient Algorit...
An Efficient GPU Implementation of a Tree-based
by myesha-ticknor
An Efficient GPU Implementation of a Tree-based n-...
Using HTCSS Adstash to Increase Goodput
by zyair
Jason Patton. Center for High Throughput Computing...
Visual Annotation of Clinically Important Anatomical Landmarks for
by patricia
VitreoRetinal. Surgery . Vincent Ng. Xin. Yuan W...
Implementing Hierarchical Bayesian Networks on the GPU
by maisie
László Dobos, Tamás Budavári, Carrie Filion,. ...
Chimera: Collaborative Preemption for Multitasking on a Shared GPU
by holly
Jason Jong Kyu Park. 1. , . Yongjun. Park. 2. , a...
Tingjun Yang, Maria Acosta, Phil Harris, Ben Hawks, Burt Holzman, Jeff Krupa, Kevin Pedro,
by finley
Nhan. Tran, Mike Wang. Neutrino Physics and Machi...
CS 732: Advance Machine Learning
by jade
Usman Roshan. Department of Computer Science. NJIT...
Barbara Chapman October 13, 2022
by vivian
Performance portability: An implementer’s Perspe...
1 Lecture: 3D CNNs, Gradient Compression
by ella
Topics: . Diffy. , Morph, Gradient Compression. 3D...
[PDF]-GPU Zen 2: Advanced Rendering Techniques
by kinnickbladen
The Desired Brand Effect Stand Out in a Saturated ...
[READING BOOK]-GPU Zen: Advanced Rendering Techniques
by gersontaniish
The Desired Brand Effect Stand Out in a Saturated ...
[BEST]-GPU Zen 2: Advanced Rendering Techniques
by janoahjamaahl
The Desired Brand Effect Stand Out in a Saturated ...
[PDF]-Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques for processing complex image data in real time using GPUs
by janoahjamaahl
The Desired Brand Effect Stand Out in a Saturated ...
[DOWLOAD]-GPU Zen: Advanced Rendering Techniques
by janoahjamaahl
The Desired Brand Effect Stand Out in a Saturated ...
Nov 19, 2018 Xi Chen University of Kentucky
by AngelEyes
Lexington, Kentucky . Gregory Gutmann . Tokyo Inst...
Training DNNs with up to 5x less memory via optimal tensor
by SunnySeahorse
rematerialization. Paras Jain. Joint work with: . ...
GPU and machine learning solutions for comparative genomics
by CottonTails
Usman Roshan. Department of Computer Science. New ...
Intelligent trigger for Hyper-K
by julia
Akitaka Ariga. University of Bern, Switzerland. Re...
Genome alignment Usman Roshan
by okelly
Applications. Genome sequencing on the rise. Whole...
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