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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

GPU accelerated tensor contractions in the plaquette renormalization scheme

J. F. Yu, H. C. Hsiao, Ying-Jer Kao

Tags: CUDA, Fluid dynamics, Heisenberg model, nVidia

November 22, 2010 by hgpu

GPU-accelerated phase-field simulation of dendritic solidification in a binary alloy

Akinori Yamanaka, Takayuki Aoki, Satoi Ogawa, Tomohiro Takaki

Tags: Alloys, CUDA, nVidia, Physics, Solidification, Tesla C1060

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

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

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

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

Quantum Chemistry on Graphical Processing Units. 2. Direct Self-Consistent-Field Implementation

Ivan S. Ufimtsev, Todd J. Martinez

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Tags: Chemistry, Computational chemistry, CUDA, Molecular modeling, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280

November 21, 2010 by hgpu

Density-based clustering using graphics processors

Christian Bohm, Robert Noll, Claudia Plant, Bianca Wackersreuther

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Tags: Computer science, CUDA, Data mining, Databases, nVidia, nVidia GeForce GTX 280

November 21, 2010 by hgpu

Parallel latent semantic analysis using a graphics processing unit

Joseph M. Cavanagh, Thomas E. Potok, Xiaohui Cui

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, Text mining

November 21, 2010 by hgpu

Non-local means denoising algorithm accelerated by GPU

K. Huang, D. Zhang, K. Wang

Tags: Algorithms, Image processing

November 21, 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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