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Accelerating Simulation of Agent-Based Models
Accelerating Simulation of Agent-Based Models
by briana-ranney
on Heterogeneous . Architectures. Jin . Wang. †...
Analysis of Sparse Convolutional Neural Networks
Analysis of Sparse Convolutional Neural Networks
by min-jolicoeur
Sabareesh Ganapathy. Manav Garg. Prasanna. . Ven...
Understanding the Windows 8 graphics driver model
Understanding the Windows 8 graphics driver model
by min-jolicoeur
Ameet Chitre. Senior Program . Manager. Microsoft...
Polly-ACC: Transparent Compilation to Heterogeneous Hardwar
Polly-ACC: Transparent Compilation to Heterogeneous Hardwar
by danika-pritchard
Tobias Grosser, . Torsten. . Hoefler. 1. LLVM Wo...
GPGPU overview
GPGPU overview
by jane-oiler
Graphics Processing Unit (GPU). GPU is the . chip...
Sponsors
Sponsors
by debby-jeon
: National Science Foundation, LogicBlox Inc. . ,...
Terrain Rendering using
Terrain Rendering using
by briana-ranney
GPU-Based Geometry Clipmaps. Arul Prakash H...
Computing
Computing
by tawny-fly
Betweenness. Centrality for Small World Networks...
Terrain Rendering using
Terrain Rendering using
by myesha-ticknor
GPU-Based Geometry Clipmaps. Arul Prakash H...
Max McMullen
Max McMullen
by luanne-stotts
Direct3D Development Lead. DirectX 12. Advanced G...
Using Graphics Processors for Real-Time Global Illumination
Using Graphics Processors for Real-Time Global Illumination
by luanne-stotts
UK GPU Computing Conference 2011. Graham Hazel. W...
Performance tips for Windows Store apps using DirectX and C
Performance tips for Windows Store apps using DirectX and C
by pasty-toler
Max McMullen. Principal Development Lead – Dire...
Canny Edge Detection Using an NVIDIA GPU and CUDA
Canny Edge Detection Using an NVIDIA GPU and CUDA
by phoebe-click
Alex Wade. CAP6938 Final Project. Introduction. G...
Computing with Accelerators: Overview
Computing with Accelerators: Overview
by jane-oiler
ITS Research Computing. Mark Reed . Objectives. L...
HSAemu
HSAemu
by lindy-dunigan
- A Full System Emulator for HSA Platform. Prof....
Efficient computation of sum-products on GPUs
Efficient computation of sum-products on GPUs
by myesha-ticknor
M. . Siberstein. , A. Schuster, D. Geiger, A. . P...
Mantle for developers
Mantle for developers
by conchita-marotz
Johan Andersson – technical director. Frostbite...
Sponsors
Sponsors
by celsa-spraggs
: National Science Foundation, LogicBlox Inc. . ,...
Microarchitectural
Microarchitectural
by mitsue-stanley
Performance Characterization of. Irregular . GPU ...
Accelerating Simulation of Agent-Based Models
Accelerating Simulation of Agent-Based Models
by alida-meadow
on Heterogeneous . Architectures. Jin . Wang. †...
Optimal Power Allocation for Multiprogrammed Workloads on
Optimal Power Allocation for Multiprogrammed Workloads on
by debby-jeon
Single-chip Heterogeneous Processors. Euijin Kwon...
Optimizing Similarity Computations for Ontology Matching -
Optimizing Similarity Computations for Ontology Matching -
by myesha-ticknor
from . GOMMA. Michael . Hartung. , Lars Kolb, . A...
Parallelizing and Optimizing Programs for GPU Acceleration
Parallelizing and Optimizing Programs for GPU Acceleration
by olivia-moreira
Martin Burtscher. Department of Computer Science....
PTask
PTask
by faustina-dinatale
: Operating System Abstractions to Manage GPUs as...
CPUs, GPUs, accelerators and memory
CPUs, GPUs, accelerators and memory
by joanne
Andrea Sciabà. On behalf of the Technology Watch ...
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: . ...
Enabling Dynamic Memory Management Support for MTC on NVIDI
Enabling Dynamic Memory Management Support for MTC on NVIDI
by phoebe-click
Proposed Work. This . work aims . to enable effic...
Student: Petra Loncar FESB, University
Student: Petra Loncar FESB, University
by maxasp
of. Split. Performance. . comparison. for NVIDI...
CS 179 Lecture 6 Synchronization, Matrix Transpose,
CS 179 Lecture 6 Synchronization, Matrix Transpose,
by mastervisa
Profiling, AWS Cluster. Synchronization. Ideal cas...
Hoda NaghibiJouybari
Hoda NaghibiJouybari
by jane-oiler
Hoda NaghibiJouybari Khaled N. Khasawneh an...
GPU Computing with CUDA
GPU Computing with CUDA
by briana-ranney
GPU Computing with CUDA © Dan Negrut, 2012 UW-M...
Automatic Data Placement Into GPU On-Chip
Automatic Data Placement Into GPU On-Chip
by test
Memory Resources. ...
Rethinking Prefetching in GPGPUs:
Rethinking Prefetching in GPGPUs:
by stefany-barnette
Exploiting Unique Opportunities. Ahmad . Lashgar....
Graphics Processing Unit
Graphics Processing Unit
by min-jolicoeur
Zhenyu Ye. Henk Corporaal. 5SIA0. , . TU/e, . 201...
Employing compression solutions under
Employing compression solutions under
by tawny-fly
openacc. Ebad. . Salehi. , Ahmad . Lashgar. and...
Advanced Computer Architecture
Advanced Computer Architecture
by sherrill-nordquist
Data-Level Parallel Architectures. Course 5MD00. ...
CUDA Profiling
CUDA Profiling
by mitsue-stanley
and Debugging. Shehzan. ArrayFire. Summary. Array...
APOGEE: Adaptive Prefetching on GPU for Energy Efficiency
APOGEE: Adaptive Prefetching on GPU for Energy Efficiency
by phoebe-click
Ankit Sethia. 1. , Ganesh Dasika. 2. , . Mehrzad....
Fast Background Subtraction using CUDA
Fast Background Subtraction using CUDA
by myesha-ticknor
Janaka. CDA 6938. What is Background Subtraction?...
INF5062 – GPU & CUDA
INF5062 – GPU & CUDA
by trish-goza
Håkon Kvale . Stensland. Simula Research Laborat...