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A GPGPU based program to solve the TDSE in intense laser fields through the finite difference approach

Cathal O Broin, L.A.A Nikolopoulos

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Tags: Algorithms, ATI, ATI Radeon HD 6970, Computational Physics, Finite difference, OpenCL, Physics, Quantum Physics

August 9, 2013 by hgpu

GPU peer-to-peer techniques applied to a cluster interconnect

Roberto Ammendola, Massimo Bernaschi, Andrea Biagioni, Mauro Bisson, Massimiliano Fatica, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Enrico Mastrostefano, Pier Stanislao Paolucci, Davide Rossetti, Francesco Simula, Laura Tosoratto, Piero Vicini

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Tags: Computational Physics, CUDA, FPGA, MPI, nVidia, Physics, Tesla S2075

August 1, 2013 by hgpu

Graphics Processing Unit acceleration of the Random Phase Approximation in the projector augmented wave method

Jun Yan, Lin Li, Christopher O'Grady

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Tags: Computational Physics, Condensed matter, CUDA, Materials Science, nVidia, Package, Physics, Tesla C2075

July 31, 2013 by hgpu

From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation

Marek Blazewicz, Ian Hinder, David M. Koppelman, Steven R. Brandt, Milosz Ciznicki, Michal Kierzynka, Frank Loffler, Erik Schnetter, Jian Tao

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Tags: Code generation, Computational Physics, CUDA, Differential equations, Finite difference, MPI, nVidia, OpenMP, Partial differential equations, PDEs, Physics, Tesla M2050

July 25, 2013 by hgpu

Lattice QCD on Intel Xeon Phi

Balint Joo, Dhiraj D. Kalamkar, Karthikeyan Vaidyanathan, Mikhail Smelyanskiy, Kiran Pamnany, Victor W Lee, Pradeep Dubey, William Watson III

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Tags: CUDA, High Energy Physics - Lattice, Intel, Intel Phi, nVidia, Physics, QCD, Tesla K20

July 20, 2013 by hgpu

Equilibrium and Non-Equilibrium Ising Models by Means of PCA

Carlo Lancia, Benedetto Scoppola

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Tags: CUDA, Ising model, Mathematical Physics, Nearest neighbour, nVidia, Physics, Tesla K20

July 14, 2013 by hgpu

GPU Simulation of Radiation in Matter

Johannes Christof de Fine Licht

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Tags: CUDA, nVidia, nVidia GeForce GT 650 M, Physics, Thesis

July 13, 2013 by hgpu

Solving 3D Anisotropic Elastic Wave Equations on Parallel GPU Devices

Robin M. Weiss, Jeffrey Shragge

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Tags: CUDA, FDTD, Finite-difference time-domain, MPI, nVidia, nVidia GeForce GTX 480, Physics, Tesla C2070, Wave equation

July 7, 2013 by hgpu

vSMC: Parallel Sequential Monte Carlo in C++

Yan Zhou

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Tags: Algorithms, Bayesian, Mathematical Software, Mathematics, nVidia, nVidia Quadro FX 2000, OpenCL, Package, Physics, Signal processing, Statistics

July 1, 2013 by hgpu

Betatron tune measurement with the LHC damper using a GPU

Frederic Dubouchet

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Tags: CUDA, FFT, Hadronic Colliders, High Energy Physics - Experiment, nVidia, Physics, Thesis

June 29, 2013 by hgpu

Modeling of the behavior of 222 Rn progeny in diffusion chamber using CUDA

Adam Stanojevic, Milos Ivanovic, Nenad Stevanovic, Filipovic Nenad

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Tags: CUDA, nVidia, nVidia GeForce GTX 560, Physics, Tesla C2090

June 26, 2013 by hgpu

GPU Optimized Code for Long Term Simulations of Beam-beam Effects in Colliders

Y. Roblin, V. Morozov, B. Terzic, M. Aturban, D. Ranjan, M. Zubair

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Tags: CUDA, High Energy Physics - Experiment, nVidia, Physics, Tesla M2090

June 21, 2013 by hgpu

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

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

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

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

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