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State-of-the-art in heterogeneous computing

Andre R. Brodtkorb, Christopher Dyken, Trond R. Hagen, Jon M. Hjelmervik, Olaf O. Storaasli

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Tags: Computer science, Energy-efficient computing, Review

November 22, 2010 by hgpu

On optimization of finite-difference time-domain (FDTD) computation on heterogeneous and GPU clusters

Ramtin Shams, Parastoo Sadeghi

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Tags: Computer science, FDTD, Finite difference, GPU cluster, nVidia, Optimization

November 22, 2010 by hgpu

GPU implementation of a road sign detector based on particle swarm optimization

Luca Mussi, Stefano Cagnoni, Elena Cardarelli, Fabio Daolio, Paolo Medici, Pier Porta

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8800 GT, nVidia Quadro FX 5800

November 22, 2010 by hgpu

CUDA by Example: An Introduction to General-Purpose GPU Programming

Jason Sanders, Edward Kandrot

Tags: Algorithms, Computer science, CUDA, nVidia, Tutorial

November 22, 2010 by hgpu

Micropolygon ray tracing with defocus and motion blur

Qiming Hou, Hao Qin, Wenyao Li, Baining Guo, Kun Zhou

Tags: 3D Graphics and Realism, Computer science, Image generation, Rendering

November 22, 2010 by hgpu

Algorithm level power efficiency optimization for CPU-GPU processing element in data intensive SIMD/SPMD computing

Da Q. Ren

Tags: Computer science, CUDA, Energy-efficient computing, nVidia

November 22, 2010 by hgpu

Efficient simulation of agent-based models on multi-GPU and multi-core clusters

Brandon G. Aaby, Kalyan S. Perumalla, Sudip K. Seal

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, OpenMPI, Performance

November 22, 2010 by hgpu

An Efficient Implementation of GPU Virtualization in High Performance Clusters

Jose Duato, Francisco Igual, Rafael Mayo, Antonio Pena, Enrique Quintana-Orti, Federico Silla

Tags: Computer science, CUDA, Grid, nVidia, Virtualization

November 22, 2010 by hgpu

Megapixel Topology Optimization on a Graphics Processing Unit

Eddie Wadbro, Martin Berggren

Tags: Computer science, Topology optimization problem

November 21, 2010 by hgpu

A high performance agent based modelling framework on graphics card hardware with CUDA

Paul Richmond, Simon Coakley, Daniela M. Romano

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce 9800 GX2

November 21, 2010 by hgpu

Breaking ECC2K-130

Daniel V. Bailey, Lejla Batina, Daniel J. Bernstein, Peter Birkner, Joppe W. Bos, Hsieh-Chung Chen, Chen-Mou Cheng, Gauthier van Damme, Giacomo de Meulenaer, Luis Julian Dominguez Perez, Junfeng Fan, Tim Guneysu, Frank Gurkaynak, Thorsten Kleinjung, Tanja Lange, Nele Mentens, Ruben Niederhagen, Christof Paar, Francesco Regazzoni, Peter Schwabe, Leif Uhsadel, Anthony Van Herrewege, Bo-Yin Yang

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Security

November 21, 2010 by hgpu

Large-scale deep unsupervised learning using graphics processors

Rajat Raina, Anand Madhavan, Andrew Y. Ng

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce GTX 280

November 21, 2010 by hgpu

PELSI: Power-Efficient Layer-Switched Inference

Efficient deep learning inference on end devices

Ouroboros: Virtualized Queues for dynamic memory management

Dynamic Memory Management on GPUs with SYCL

MSCCL++: A GPU-driven communication stack for scalable AI applications

MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications

Benchmark compute shader of Unity against InteropUnityCUDA

InteropUnityCUDA: A Tool for Interoperability Between Unity and CUDA

Data-efficient LLM Fine-tuning for Code Generation

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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