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Accelerating the Nussinov RNA folding algorithm with CUDA/GPU

Dar-Jen Chang, C. Kimmer, Ming Ouyang

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Tags: Biology, CUDA, Macromolecule, nVidia, Tesla C1060, Tesla C2050, Tesla C870

July 12, 2011 by hgpu

Harnessing the power of idle GPUs for acceleration of biological sequence alignment

Fumihiko Ino, Yuki Kotani, Yuma Munekawa, Kenichi Hagihara

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce 7900 GTX, nVidia GeForce 7950 GX2, nVidia GeForce 8800 GTX, OpenGL, Sequence alignment

July 12, 2011 by hgpu

Towards a robust, real-time face processing system using CUDA-enabled GPUs

Bharatkumar Sharma, Rahul Thota, Naga Vydyanathan, Amit Kale

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Tags: Computer science, CUDA, Image recognition, nVidia, nVidia GeForce GTX 285, Real-time graphics, Rendering, Security

July 12, 2011 by hgpu

A Program Behavior Study of Block Cryptography Algorithms on GPGPU

Gu Liu, Hong An, Wenting Han, Guang Xu, Ping Yao, Mu Xu, Xiurui Hao, Yaobin Wang

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Tags: AES, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, Security

July 12, 2011 by hgpu

Graphics processing unit parallel accelerated solution of the discrete ordinates for photon transport in biological tissues

Kuan Peng, Xinbo Gao, Xiaochao Qu, Nunu Ren, Xueli Chen, Xiaowei He, Xiaorei Wang, Jimin Liang, Jie Tian

Tags: Biology, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 260, Optics, Tomography

July 12, 2011 by hgpu

MATLAB Parallelization through Scalarization

Chun-Yu Shei, Adarsh Yoga, Madhav Ramesh, Arun Chauhan

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Tags: Compilers, Computer science, CUDA, nVidia, Performance, Tesla C1060

July 11, 2011 by hgpu

GPU-accelerated MoM-based broadband simulations using Stoer-Bulirsch algorithm

Andrzej Karwowski, Artur Noga, Tomasz Topa

Tags: CUDA, Electrodynamics, Integral equations, nVidia

July 11, 2011 by hgpu

Parallelizing of digital signal processing with using GPU

Wojciech Bozejko, Andrzej Dobrucki, Maciej Walczynski

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce 9600 M GS, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Signal processing, Tesla C870

July 11, 2011 by hgpu

Implementation of large-scale FIR adaptive filters on NVIDIA GeForce graphics processing unit

Akihiro Hirano, Kenji Nakayama

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Tags: Computer science, CUDA, Filtering, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9400 M

July 11, 2011 by hgpu

Accelerating Lossless Data Compression with GPUs

R. L. Cloud, M. L. Curry, H. L. Ward, A. Skjellum, P. Bangalore

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Performance

July 11, 2011 by hgpu

Testing Tesla architecture for scientific computing: The performance of matrix-vector product

Pawel Maciol, Krzysztof Banas

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Tags: Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce 8800 GTX, Performance, Tesla C870

July 10, 2011 by hgpu

Many-core parallel computing – Can compilers and tools do the heavy lifting?

W.-m.W. Hwu

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Tags: Compilers, Computer science, CUDA, Image processing, nVidia, Presentation, Review

July 10, 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

Accelerating the Nussinov RNA folding algorithm with CUDA/GPU

Harnessing the power of idle GPUs for acceleration of biological sequence alignment

Towards a robust, real-time face processing system using CUDA-enabled GPUs

A Program Behavior Study of Block Cryptography Algorithms on GPGPU

Graphics processing unit parallel accelerated solution of the discrete ordinates for photon transport in biological tissues

MATLAB Parallelization through Scalarization

GPU-accelerated MoM-based broadband simulations using Stoer-Bulirsch algorithm

Parallelizing of digital signal processing with using GPU

Implementation of large-scale FIR adaptive filters on NVIDIA GeForce graphics processing unit

Accelerating Lossless Data Compression with GPUs

Testing Tesla architecture for scientific computing: The performance of matrix-vector product

Many-core parallel computing – Can compilers and tools do the heavy lifting?

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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