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Stencil computation optimization and auto-tuning on state-of-the-art multicore architectures

Kaushik Datta, Mark Murphy, Vasily Volkov, Samuel Williams, Jonathan Carter, Leonid Oliker, David Patterson, John Shalf, Katherine Yelick

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Tags: Cell processor, Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX 280, Performance

December 14, 2010 by hgpu

High-performance and Hardware-aware Computing: Proceedings of the First International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC’08)

Rainer Buchty, Jan-Philipp Weiss (ed.)

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Tags: Architecture, Cell processor, Computer science, CUDA, nVidia, OpenGL

December 14, 2010 by hgpu

Wavefront raycasting using larger filter kernels for on-the-fly GPU gradient reconstruction

Baoquan Liu, Gordon Clapworthy, Feng Dong

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, Rendering

December 13, 2010 by hgpu

Orders-of-magnitude performance increases in GPU-accelerated correlation of images from the International Space Station

Peter Lu, Hidekazu Oki, Catherine Frey, Gregory Chamitoff, Leroy Chiao, Edward Fincke, C. Foale, Sandra Magnus, William McArthur, Daniel Tani, Peggy Whitson, Jeffrey Williams, William Meyer, Ronald Sicker, Brion Au, Mark Christiansen, Andrew Schofield, David Weitz

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia GeForce GTX 280, nVidia Quadro FX 5800, Tesla C1060

December 13, 2010 by hgpu

Development of a GPU-based multithreaded software application to calculate digitally reconstructed radiographs for radiotherapy

Shinichiro Mori, Masanao Kobayashi, Motoki Kumagai, Shinichi Minohara

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Tags: Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce 8800 GTS, Radiotherapy

December 13, 2010 by hgpu

Real-time anomaly detection in hyperspectral images using multivariate normal mixture models and GPU processing

Yuliya Tarabalka, Trym Haavardsholm, Ingebjorg Kasen, Torbjorn Skauli

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8800 Ultra

December 13, 2010 by hgpu

Fast and automatic object pose estimation for range images on the GPU

In Park, Marcel Germann, Michael Breitenstein, Hanspeter Pfister

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 13, 2010 by hgpu

A GPU Tile-Load-Map architecture for terrain rendering: theory and applications

Yacine Amara, Xavier Marsault

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, Rendering

December 13, 2010 by hgpu

Accelerating Compute-Intensive Applications with GPUs and FPGAs

Shuai Che, Jie Li, Jeremy W. Sheaffer, Kevin Skadron, John Lach

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Tags: Architecture, Computer science, CUDA, FPGA, nVidia, nVidia GeForce 8800 GTX, Package, Performance

December 13, 2010 by hgpu

Real-world comparison of CPU and GPU implementations of SNPrank: a network analysis tool for GWAS

Nicholas A. Davis, Ahwan Pandey, B. A. McKinney

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Tags: Bioinformatics, Biology, CUDA, Genetics, Medicine, nVidia, Package, Tesla M1060

December 13, 2010 by hgpu

New Row-grouped CSR format for storing the sparse matrices on GPU with implementation in CUDA

Tomas Oberhuber, Atsushi Suzuki, Jan Vacata

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Tags: Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Sparse matrix

December 13, 2010 by hgpu

SWPS3 – fast multi-threaded vectorized Smith-Waterman for IBM Cell/B.E. and x86/SSE2

Adam Szalkowski, Christian Ledergerber, Philipp Kraehenbuehl, Christophe Dessimoz

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Tags: Biology, Cell processor, CUDA, nVidia, nVidia GeForce 8800 GTX, Optimization, Package, Sequence alignment, Smith-Waterman algorithm

December 12, 2010 by hgpu

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

Kokkidio: Fast, expressive, portable code, based on Kokkos and Eigen

LLaMA-Inference-Bench

LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators

MATAR

On a Simplified Approach to Achieve Parallel Performance and Portability Across CPU and GPU Architectures

Over-synchronization in GPU Programs

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

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