Search Results for 'Gpu-Performance-Optimisation'

Gpu-Performance-Optimisation published presentations and documents on DocSlides.

Optimal Power Allocation for Multiprogrammed Workloads on
Optimal Power Allocation for Multiprogrammed Workloads on
by debby-jeon
Single-chip Heterogeneous Processors. Euijin Kwon...
Mapping Irregular
Mapping Irregular
by giovanna-bartolotta
Computations . to GPUs. Graphics processors (GPUs...
Optimizing Similarity Computations for Ontology Matching -
Optimizing Similarity Computations for Ontology Matching -
by myesha-ticknor
from . GOMMA. Michael . Hartung. , Lars Kolb, . A...
FAT-GPU: Formal Analysis Techniques for GPU Kernels
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
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
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
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
Stadium
by giovanna-bartolotta
H. ashing: . Scalable and Flexible Hashing on GPU...
GPU Computing with
GPU Computing with
by giovanna-bartolotta
OpenACC. Directives. subroutine . saxpy. (n, a, ...
Fine-grain Task Aggregation and Coordination on GPUs
Fine-grain Task Aggregation and Coordination on GPUs
by danika-pritchard
Marc S. Orr. †§. , Bradford M. Beckmann. §. ,...
CPU/GPU
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
Simulation of Fluids using the
by debby-jeon
Navier. -Stokes Equations . Kartik. . Ramakrishn...
More Charm++/TAU examples
More Charm++/TAU examples
by yoshiko-marsland
Applications:. NAMD. Parallel Framework for Unstr...
GPU Computing with CUDA
GPU Computing with CUDA
by tawny-fly
© Dan Negrut, . 2012. UW-Madison. Dan Negrut. Si...
SE263 Video Analytics
SE263 Video Analytics
by marina-yarberry
Course Project Initial Report. Presented by M. . ...
Parallelizing and Optimizing Programs for GPU Acceleration
Parallelizing and Optimizing Programs for GPU Acceleration
by olivia-moreira
Martin Burtscher. Department of Computer Science....
ATTILA A. YAVUZ (OREGON STATE UNIVERSITY)
ATTILA A. YAVUZ (OREGON STATE UNIVERSITY)
by alida-meadow
IOANNIS PAPAPANAGIOTOU, PHD. ANAND MUDGERIKAR, ...
INF5063 – GPU & CUDA
INF5063 – GPU & CUDA
by tatyana-admore
Håkon Kvale . Stensland. iAD-lab, Department for...
PTask
PTask
by faustina-dinatale
: Operating System Abstractions to Manage GPUs as...
Miao Yu
Miao Yu
by natalia-silvester
, Virgil D. Gligor, and . Zongwei. Zhou. CyLab. ...
GPU-Based Top-K Query Processing Efficient
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
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
Using HTCSS Adstash to Increase Goodput
by zyair
Jason Patton. Center for High Throughput Computing...
Visual Annotation of Clinically Important Anatomical Landmarks for
Visual Annotation of Clinically Important Anatomical Landmarks for
by patricia
VitreoRetinal. Surgery . Vincent Ng. Xin. Yuan W...
Implementing Hierarchical Bayesian Networks on the GPU
Implementing Hierarchical Bayesian Networks on the GPU
by maisie
László Dobos, Tamás Budavári, Carrie Filion,. ...
Chimera: Collaborative Preemption for Multitasking on a Shared GPU
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,
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
CS 732: Advance Machine Learning
by jade
Usman Roshan. Department of Computer Science. NJIT...
Barbara Chapman October 13, 2022
Barbara Chapman October 13, 2022
by vivian
Performance portability: An implementer’s Perspe...
1 Lecture: 3D CNNs, Gradient Compression
1 Lecture: 3D CNNs, Gradient Compression
by ella
Topics: . Diffy. , Morph, Gradient Compression. 3D...
[PDF]-GPU Zen 2: Advanced Rendering Techniques
[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
[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
[BEST]-GPU Zen 2: Advanced Rendering Techniques
by janoahjamaahl
The Desired Brand Effect Stand Out in a Saturated ...
[DOWLOAD]-GPU Zen: Advanced Rendering Techniques
[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
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
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
GPU and machine learning solutions for comparative genomics
by CottonTails
Usman Roshan. Department of Computer Science. New ...
Intelligent trigger for Hyper-K
Intelligent trigger for Hyper-K
by julia
Akitaka Ariga. University of Bern, Switzerland. Re...
Genome alignment Usman Roshan
Genome alignment Usman Roshan
by okelly
Applications. Genome sequencing on the rise. Whole...