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Evaluating kernels on Xeon Phi to accelerate Gysela application

G. Latu, M. Haefele, J. Bigot, V. Grandgirard, T. Cartier-Michaud, F. Rozar

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Tags: Computational Physics, Intel Xeon Phi, Physics

March 22, 2015 by hgpu

Parallel Statistical Multi-resolution Estimation

Jan Lebert, Lutz Kunneke, Johannes Hagemann, Stephan C. Kramer

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Tags: Computational Physics, Computer vision, CUDA, nVidia, Physics, Tesla K20

March 14, 2015 by hgpu

Multi-GPU implementation of a VMAT treatment plan optimization algorithm

Zhen Tian, Fei Peng, Michael Folkerts, Jun Tan, Xun Jia, Steve B. Jiang

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Tags: CUDA, Medical Physics, nVidia, nVidia GeForce GTX 590, Physics

March 6, 2015 by hgpu

An OpenCL-based Monte Carlo dose calculation engine (oclMC) for coupled photon-electron transport

Zhen Tian, Feng Shi, Michael Folkerts, Nan Qin, Steve B. Jiang, Xun Jia

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Tags: AMD Radeon R9 290X, ATI, Medical Physics, nVidia, nVidia GeForce GTX Titan, OpenCL, Physics, Radiotherapy

March 6, 2015 by hgpu

Energy-and cost-efficient Lattice-QCD computations using graphics processing units

Matthias Bach

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Tags: Algorithms, AMD FirePro S10000, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, Energy-efficient computing, High Energy Physics - Lattice, OpenCL, Physics, QCD, Thesis

March 3, 2015 by hgpu

Simulation of the hydrogen ground state in Stochastic Electrodynamics

Theo M. Nieuwenhuizen, Matthew T.P. Liska

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Tags: AMD Radeon R9 290X, ATI, ATI Radeon HD 6970, Electrodynamics, OpenCL, Physics, Quantum Physics

February 27, 2015 by hgpu

GPU accelerated image reconstruction in a two-strip J-PET tomograph

P. Bialas, J. Kowal, A. Strzelecki, T. Bednarski, E. Czerwinski, A. Gajos, D. Kaminska, L. Kaplon, A. Kochanowski, G. Korcyl, P. Kowalski, T. Kozik, W. Krzemien, E. Kubicz, P. Moskal, Sz. Niedzwiecki, M. Palka, L. Raczynski, Z. Rudy, O. Rundel, P. Salabura, N.G. Sharma, M. Silarski, A. Slomski, J. Smyrski, A. Wieczorek, W. Wislicki, M. Zielinski, N. Zon

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Tags: CUDA, Image reconstruction, Instrumentation and Detectors, Nuclear Experiment, nVidia, nVidia GeForce GTX 770, Physics

February 27, 2015 by hgpu

High Performance Computing of Meshless Time Domain Method on Multi-GPU Cluster

Soichiro Ikuno, Susumu Nakata, Yuta Hirokawa, Taku Itoh

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Tags: CUDA, FDTD, Finite difference, Finite-difference time-domain, GPU cluster, MPI, Numerical simulation, nVidia, Physics, Tesla M2090

February 23, 2015 by hgpu

Asynchronous OpenCL/MPI numerical simulations of conservation laws

Philippe Helluy, Thomas Strub, Michel Massaro, Malcolm Roberts

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Tags: ATI, ATI Radeon HD 7970, MPI, Numerical simulation, nVidia, OpenCL, Physics, Tesla K20

February 23, 2015 by hgpu

CAVE-CL: An OpenCL version of the package for detection and quantitative analysis of internal cavities in a system of overlapping balls: application to proteins

Jan Busa Jr., Jan Busa, Shura Hayryan, Chin-Kun Hu, Ming-Chya Wu

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Tags: Algorithms, Biology, Computer physics, Fortran, nVidia, nVidia GeForce GTX 470, OpenCL, Physics, Tesla C1060

February 10, 2015 by hgpu

Nucleation Studies on Graphics Processing Units

Benjamin J. Block

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Tags: Anisotropy, ATI, ATI Radeon HD 6970, Biology, Chemistry, Differential equations, Ising model, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 690, nVidia GeForce GTX Titan, OpenCL, Physics, Tesla K20, Thesis

February 6, 2015 by hgpu

A fast marching method based back projection algorithm for photoacoustic tomography in heterogeneous media

Tianren Wang, Yun Jing

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Tags: CUDA, Heterogeneous systems, Image reconstruction, Medical Physics, Medicine, nVidia, Physics, Tesla C2075, Tomography

January 19, 2015 by hgpu

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

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

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

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

HPX: a C++ Standard Library for Concurrency and Parallelism

Asynchronous-Many-Task Systems: Challenges and Opportunities – Scaling an AMR Astrophysics Code on Exascale machines using Kokkos and HPX

TorchQC: Quantum Dynamics and Machine Learning

TorchQC – A framework for efficiently integrating machine and deep learning methods in quantum dynamics and control

Matrix multiplication using Tensor Cores in CUDA

Utilizing Tensor Cores in Futhark

CPP Joules: Energy Measurement tool for CPP/CUDA programs

CPPJoules: An Energy Measurement Tool for C++

HPC-Coder-v2

HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages

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