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Exact calculation of disconnected loops

C. Alexandrou, D. Christaras, A. O'Cais, A. Strelchenko

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Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, QCD, Tesla C1060

December 27, 2010 by hgpu

Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function

Peter Benner, Pablo Ezzatti, Enrique S. Quintana-Orti, Alfredo Remon

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Tags: BLAS, Computer science, CUDA, Linear Algebra, nVidia, Tesla C1060

December 25, 2010 by hgpu

GPU-based ultra fast IMRT plan optimization

Chunhua Men, Xuejun Gu, Dongju Choi, Amitava Majumdar, Ziyi Zheng, Klaus Mueller, Steve B. Jiang

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Tags: CUDA, Image processing, Magnetic resonance imaging, Medicine, nVidia, nVidia GeForce 9500 GT, nVidia GeForce GTX 285, Tesla C1060, Tesla S1070

December 21, 2010 by hgpu

Accelerating S3D: A GPGPU Case Study

Kyle Spafford, Jeremy Meredith, Jeffrey Vetter, Jacqueline Chen, Ray Grout and Ramanan Sankaran

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Tags: Chemistry, Computational chemistry, CUDA, nVidia, nVidia GeForce 8800 GTX, Tesla C1060

December 18, 2010 by hgpu

Large-scale FFT on GPU clusters

Yifeng Chen, Xiang Cui, Hong Mei

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 285, Programming techniques, Tesla C1060

December 18, 2010 by hgpu

Accelerating SQL Database Operations on a GPU with CUDA

Peter Bakkum, Kevin Skadron

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Tags: Computer science, CUDA, Databases, nVidia, Tesla C1060

December 18, 2010 by hgpu

Accelerating Correlated Quantum Chemistry Calculations Using Graphical Processing Units

Mark Watson, Roberto Olivares-Amaya, Richard G. Edgar, Alan Aspuru-Guzik

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Tags: Chemistry, Computational chemistry, Molecular modeling, nVidia, Tesla C1060

December 17, 2010 by hgpu

High-throughput Bayesian network learning using heterogeneous multicore computers

Michael D. Linderman, Robert Bruggner, Vivek Athalye, Teresa H. Meng, Narges B. Asadi, Garry P. Nolan

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Tags: Algorithms, CUDA, GPU cluster, Mathematics, nVidia, nVidia GeForce GTX 285, Statistics, Tesla C1060, Tesla S1070

December 15, 2010 by hgpu

Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets

Won-ki Jeong, Johanna Beyer, Student Member, Markus Hadwiger, Amelio Vazquez, Student Member, Hanspeter Pfister, Senior Member, Ross T. Whitaker

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Tags: Biology, Electron microscopy, Neuroscience, nVidia, nVidia Quadro FX 5800, Rendering, Tesla C1060

December 15, 2010 by hgpu

Hybrid of genetic algorithm and local search to solve MAX-SAT problem using nVidia CUDA framework

Asim Munawar, Mohamed Wahib, Masaharu Munetomo, Kiyoshi Akama

Tags: Algorithms, Computer science, CUDA, nVidia, Search, Tesla C1060

December 15, 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

GPU-based fast gamma index calcuation

Xuejun Gu, Xun Jia, Steve B. Jiang

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Tags: CUDA, Medical Physics, Medicine, nVidia, Radiotherapy, Tesla C1060

December 10, 2010 by hgpu

QArray

QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

Celerity: High-level C++ for Accelerator Clusters

Balancing Tracking Granularity and Parallelism in Many-Task Systems: The Horizons Approach

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

Parallel Gaussian process with kernel approximation in CUDA

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

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