high performance computing on graphics processing units: hgpu.org

R. Ammendola, A. Biagioni, L. Deri, M. Fiorini, O. Frezza, G. Lamanna, F. Lo Cicero, A. Lonardo, A. Messina, M. Sozzi, F. Pantaleo, P.S. Paolucci, D. Rossetti, F. Simula, L. Tosoratto, P. Vicini

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Tags: CUDA, Data acquisition, High Energy Physics - Experiment, nVidia, nVidia GeForce GTX 680, Physics, Tesla C1060, Tesla C2050

January 14, 2014 by hgpu

GPU-Based Real-Time Imaging Software Suite for Medical Ultrasound

Jung Woo Choe, Amin Nikoozadeh, Omer Oralkan, Butrus T. Khuri-Yakub

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Tags: CUDA, Data acquisition, Image processing, nVidia, Rendering, Tesla C2070, Ultrasound

August 9, 2013 by hgpu

Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA

In-Kyu Jeong, Min-Gee Hong, Kwang-Soo Hahn, Joonsoo Choi, Choen Kim

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Tags: CUDA, Data acquisition, Image processing, nVidia, nVidia GeForce GTX 550 Ti, Raytracing, Sensing, Visualization

January 24, 2013 by hgpu

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

A User’s Guide to KSig: GPU-Accelerated Computation of the Signature Kernel

IterApp: Iterative Application Skeleton

Boosting Performance of Iterative Applications on GPUs: Kernel Batching with CUDA Graphs

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

Data Parallel Visualization and Rendering on the RAMSES Supercomputer with ANARI

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

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high performance computing on graphics processing units: hgpu.org

Scalable Applications on Heterogeneous System Architectures: A Systematic Performance Analysis Framework

Developing acquisition systems based on FPGA with OpenCL

Fast inference of deep neural networks in FPGAs for particle physics

Data Acquisition with GPUs: The DAQ for the Muon g-2 Experiment at Fermilab

Fast-Fourier-Transform-Based Electrical Noise Measurements

Parallel track reconstruction in CMS using the cellular automaton approach

Efficient Implementation of Hyperspectral Anomaly Detection Techniques on GPUs and Multicore Processors

Computer vision for continuous plankton monitoring

GPUs for real-time processing in HEP trigger systems

GPU-Based Real-Time Imaging Software Suite for Medical Ultrasound

Performance Study of Satellite Image Processing on Graphics Processors Unit Using CUDA

Recent source codes

Code Generation for Cryptographic Kernels using Multi-word Modular Arithmetic on GPU

GSParLib

Keras Sig: Efficient Path Signature Computation on GPU in Keras 3

KSig: GPU-accelerated computation of popular time series kernels

IterApp: Iterative Application Skeleton

SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs

LeetDecoding: A PyTorch Library for Exponentially Decaying Causal Linear Attention with CUDA Implementations

Anari-visionaray

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

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