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APOGEE: Adaptive Prefetching on GPU for Energy Efficiency
APOGEE: Adaptive Prefetching on GPU for Energy Efficiency
by giovanna-bartolotta
Ankit Sethia. 1. , Ganesh Dasika. 2. , . Mehrzad....
CS179: GPU Programming
CS179: GPU Programming
by pasty-toler
Lecture . 5: Memory. Today. GPU Memory Overview. ...
Harmonica GPU
Harmonica GPU
by lindy-dunigan
©Chad Kersey and Sudhakar Yalamanchili unless o...
CUDA
CUDA
by calandra-battersby
Misc. Mergesort. , Pinned Memory, . Device . Quer...
Intel Redefines GPU:
Intel Redefines GPU:
by tatyana-admore
Larrabee. Tianhao. Tong. Liang Wang. Runjie. Zh...
Mark Harris
Mark Harris
by danika-pritchard
NVIDIA Corporation. Tesla GPU Computing. A Revolu...
Fermi
Fermi
by conchita-marotz
A Complete GPU Compute Architecture by NVIDIA. Ta...
Optimization on
Optimization on
by lindy-dunigan
Kepler. Zehuan Wang. zehuan@nvidia.com. Fundament...
VAST: The Illusion of a Large Memory Space for GPUs
VAST: The Illusion of a Large Memory Space for GPUs
by luanne-stotts
Janghaeng Lee. , . Mehrzad. . Samadi. , and . Sc...
CS179: GPU Programming
CS179: GPU Programming
by tatyana-admore
Lecture . 5: Memory. Today. GPU Memory Overview. ...
Using HTCSS Adstash to Increase Goodput
Using HTCSS Adstash to Increase Goodput
by zyair
Jason Patton. Center for High Throughput Computing...
CULZSS LZSS Lossless Data Compression on CUDA
CULZSS LZSS Lossless Data Compression on CUDA
by bety
Adnan. . Ozsoy. & Martin . Swany. DAMSL - D...
CS 732: Advance Machine Learning
CS 732: Advance Machine Learning
by jade
Usman Roshan. Department of Computer Science. NJIT...
CUDA - 101 Basics Overview
CUDA - 101 Basics Overview
by broadcastworld
What is CUDA?. Data Parallelism. Host-Device model...
State of CyberGIS Shaowen Wang
State of CyberGIS Shaowen Wang
by dailyno
CyberInfrastructure and Geospatial Information Lab...
Energy-Efficient Data Compression for Modern Memory Systems
Energy-Efficient Data Compression for Modern Memory Systems
by katrgolden
Gennady Pekhimenko. ACM Student Research Competiti...
CS/EE 217 GPU Architecture and Parallel Programming
CS/EE 217 GPU Architecture and Parallel Programming
by mojartd
Midterm Review. Material on exam. Lectures 1 to . ...
µ C-States: Fine-grained GPU
µ C-States: Fine-grained GPU
by olivia-moreira
µ C-States: Fine-grained GPU Datapath Power Ma...
Rahul Sharma (Stanford) Michael Bauer (NVIDIA Research) Alex Aiken (Stanford)
Rahul Sharma (Stanford) Michael Bauer (NVIDIA Research) Alex Aiken (Stanford)
by alexa-scheidler
Rahul Sharma (Stanford) Michael Bauer (NVIDIA Res...
Adaptive Input-aware Compilation for Graphics Engines
Adaptive Input-aware Compilation for Graphics Engines
by stefany-barnette
Mehrzad. . Samadi. 1. , Amir Hormati. 2. , . Moj...
Communication and Coordination Paradigms for
Communication and Coordination Paradigms for
by olivia-moreira
Highly-parallel Accelerators. Marc . S. Orr. PhD ...
©Sudhakar Yalamanchili unless otherwise noted
©Sudhakar Yalamanchili unless otherwise noted
by danika-pritchard
Reducing Branch Divergence in GPU Programs. . T....
MacSim Simulator HPArch
MacSim Simulator HPArch
by celsa-spraggs
Research Group. MacSim Tutorial. Part 2. Overvie...
Scalable SIMD-Efficient Graph Processing on GPUs
Scalable SIMD-Efficient Graph Processing on GPUs
by jane-oiler
Farzad Khorasani. , . Rajiv Gupta. , . Laxmi. N....
Nathan Grabaskas:
Nathan Grabaskas:
by giovanna-bartolotta
Batched LA and . Parallel Communication Optimizat...
Contents of the Lecture
Contents of the Lecture
by jane-oiler
1. . Introduction. 2. . Methods for I/O Operation...
OpenCL Programming & Optimization Case Study
OpenCL Programming & Optimization Case Study
by pamella-moone
Instructor Notes. Lecture discusses parallel impl...
Real-time Terrain Rendering and Processing
Real-time Terrain Rendering and Processing
by calandra-battersby
Shiben. . Bhattacharjee. 200607022. shiben@resea...
University of California San Diego
University of California San Diego
by pasty-toler
*University . of California . Berkeley. Mohsen Im...
Harmonica GPU
Harmonica GPU
by pasty-toler
©Chad Kersey and Sudhakar Yalamanchili unless o...
Scalable SIMD-Efficient Graph Processing on GPUs
Scalable SIMD-Efficient Graph Processing on GPUs
by liane-varnes
Farzad Khorasani. , . Rajiv Gupta. , . Laxmi. N....
Warped-Slicer:
Warped-Slicer:
by alida-meadow
. Efficient Intra-SM Slicing through Dynamic Res...
VOCL-FT: Introducing Techniques for Efficient Soft Error Co
VOCL-FT: Introducing Techniques for Efficient Soft Error Co
by cheryl-pisano
Antonio J. Peña, . Wesley Bland. , . Pavan. . B...
Ocelot: supported devices
Ocelot: supported devices
by jane-oiler
Overview. Ocelot PTX . Emulator. Multicore-Backen...
Graphic Architecture introduction and analysis
Graphic Architecture introduction and analysis
by sherrill-nordquist
劉哲宇. ,. Liou. . Jhe. -Yu. Outline. GPU Arc...
Rahul Sharma (Stanford)
Rahul Sharma (Stanford)
by tatyana-admore
Michael Bauer (NVIDIA Research). Alex Aiken (Stan...
Writing Efficient CUDA Programs
Writing Efficient CUDA Programs
by olivia-moreira
Martin Burtscher. Department of Computer Science....
A Case for Core-Assisted Bottleneck Acceleration in GPUs
A Case for Core-Assisted Bottleneck Acceleration in GPUs
by pamella-moone
Enabling Flexible Data Compression . with Assist ...
Toward Cache-Friendly
Toward Cache-Friendly
by alida-meadow
Hardware Accelerators. Yakun. Sophia Shao, Sam X...
High-Throughput Transaction Executions on Graphics Processo
High-Throughput Transaction Executions on Graphics Processo
by yoshiko-marsland
Bingsheng He . (NTU, Singapore). Jeffrey Xu Yu (C...