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Dense Dynamic Programming on Multi GPU

Vincent Boyer, Didier El Baz, Moussa Elkihel

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, nVidia, Tesla S1070

October 26, 2011 by hgpu

Precision and Performance: Floating Point and IEEE 754 Compliance for NVIDIA GPUs

Nathan Whitehead, Alex Fit-Florea

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Tags: Computer science, CUDA, nVidia, Precision

October 26, 2011 by hgpu

A case study on porting scientific applications to GPU/CUDA

Javier Delgado, Joao Gazolla, Esteban Clua, S. Masoud Sadjadi

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Tags: Computer science, CUDA, Earth and Space Sciences, Fortran, nVidia, nVidia GeForce 9300 M, nVidia GeForce 9400 M, Tesla S1070, Weather prediction

October 26, 2011 by hgpu

Quasars spectra classification with the help of GPU computing

P. Wasiewicz, K. Hryniewicz

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Source codes

Tags: Astrophysics, CUDA, Databases, Numerical Analysis, nVidia, Package

October 26, 2011 by hgpu

Efficient Probabilistic Latent Semantic Indexing using Graphics Processing Unit

Eli Koffi Kouassi, Toshiyuki Amagasaa, Hiroyuki Kitagawa

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Tags: Algorithms, Computer science, CUDA, Data mining, nVidia, Semantic indexing, Tesla C2050

October 26, 2011 by hgpu

A Memory Efficient and Fast Sparse Matrix Vector Product on a GPU

A. Dziekonski, A. Lamecki, M. Mrozowski

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Tags: Computer science, CUDA, Electrodynamics, FEM, Finite element method, nVidia, nVidia GeForce GTX 480, Performance, Sparse matrix

October 26, 2011 by hgpu

Accelerated MD Program Using CUDA Technology

Hoang Van Hue, Nguyen Thi Thanh Ha, Pham Khac Hung

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Tags: CUDA, Materials Science, Molecular dynamics, nVidia, nVidia GeForce GTS 250, Physics

October 26, 2011 by hgpu

Evaluation of Speedup of Monte Carlo Calculations of Two Simple Reactor Physics Problems Coded for the GPU/CUDA Environment

Aiping Ding, Tianyu Liu, Chao Liang, Wei Ji, Mark S. Shephard, X George Xu, Forrest B. Brown

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Tags: CUDA, Monte Carlo simulation, nVidia, Physics, Tesla C2050

October 26, 2011 by hgpu

Flexible neuronal network simulation framework using code generation for NVidia CUDA

Thomas Nowotny

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Tags: Bioinformatics, Biology, CUDA, Neural networks, Neuroscience, nVidia, nVidia Quadro FX 5800, Poster

October 26, 2011 by hgpu

Scalability of Incompressible Flow Computations on Multi-GPU Clusters Using Dual-Level and Tri-Level Parallelism

Dana A. Jacobsen, Inanc Senocak

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Tags: CUDA, Fluid dynamics, GPU cluster, MPI, nVidia, OpenMP, Tesla C1060, Tesla S1070

October 25, 2011 by hgpu

Design and Implementation of GPU-Based Prim’s Algorithm

Wei Wang, Yongzhong Huang, Shaozhong Guo

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 260

October 25, 2011 by hgpu

Parallel Execution of AES-CTR Algorithm Using Extended Block Size

Nhat-Phuong Tran, Myungho Lee, Sigwon Hong

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Tags: AES, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9500 GT, Security

October 25, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

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

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

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

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

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high performance computing on graphics processing units: hgpu.org

Dense Dynamic Programming on Multi GPU

Precision and Performance: Floating Point and IEEE 754 Compliance for NVIDIA GPUs

A case study on porting scientific applications to GPU/CUDA

Quasars spectra classification with the help of GPU computing

Efficient Probabilistic Latent Semantic Indexing using Graphics Processing Unit

A Memory Efficient and Fast Sparse Matrix Vector Product on a GPU

Accelerated MD Program Using CUDA Technology

Evaluation of Speedup of Monte Carlo Calculations of Two Simple Reactor Physics Problems Coded for the GPU/CUDA Environment

Flexible neuronal network simulation framework using code generation for NVidia CUDA

Scalability of Incompressible Flow Computations on Multi-GPU Clusters Using Dual-Level and Tri-Level Parallelism

Design and Implementation of GPU-Based Prim’s Algorithm

Parallel Execution of AES-CTR Algorithm Using Extended Block Size

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

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

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

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

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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