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Computational investigation of intense short-wavelength laser interaction with rare gas clusters

Nicolas Bigaouette

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Tags: nVidia, OpenCL, Physics, Quantum Physics, Tesla M2075, Thesis

July 28, 2014 by hgpu

Acceleration of Diagrammatic Determinantal Quantum Monte Carlo Calculations using GPUs

M. Schmitt, I. Bethune, P. Haase, T. Pruschke

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

April 2, 2014 by hgpu

Coherent transport by adiabatic passage on atom chips

T. Morgan, L. J. O'Riordan, N. Crowley, B. O'Sullivan, Th. Busch

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Tags: CUDA, nVidia, nVidia GeForce GTX 580, Physics, Quantum Physics

September 11, 2013 by hgpu

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 accelerated Trotter-Suzuki solver for quantum spin dynamics

Axel D. Dente, Carlos S. Bederian, Pablo R. Zangara, Horacio M. Pastawski

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Tags: Algorithms, Computational Physics, CUDA, nVidia, Physics, Quantum Physics, Spin Systems, Statistical Mechanics, Tesla C2070

May 2, 2013 by hgpu

Exploring complex quantum systems with a hybrid CPU-GPU computing platform

A. Yu. Polyakov, S. Denisov, P. Hanggi

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Tags: CUDA, Differential equations, nVidia, Physics, Quantum Physics, Tesla M2050

April 7, 2013 by hgpu

A Second-Order Distributed Trotter-Suzuki Solver with a Hybrid Kernel

Peter Wittek, Fernando M. Cucchietti

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Source codes

Tags: Computational Physics, CUDA, MPI, nVidia, Package, Physics, Quantum Physics, Tesla M2090

August 14, 2012 by hgpu

An open source MATLAB program for fast numerical Feynman integral calculations for open quantum system dynamics on GPUs

Nikesh S. Dattani

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Tags: Chemical Physics, Computational Physics, Mathematical Physics, nVidia, Physics, Quantum Physics, Tesla C2070

June 1, 2012 by hgpu

High Performance Error Correction for Quantum Key Distribution using Polar Codes

Paul Jouguet, Sebastien Kunz-Jacques

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Tags: ATI, Parity-check codes, Physics, Quantum Physics

May 3, 2012 by hgpu

An OpenCL implementation for the solution of TDSE on GPU and CPU architectures

Cathal O'Broin, Lampros A. A. Nikolopoulos

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Tags: Algorithms, ATI, ATI FirePro V7800, Computational Physics, Differential equations, nVidia, ODEs, OpenCL, Ordinary differential equations, Physics, Quantum Physics, Tesla S1070

January 31, 2012 by hgpu

Evolutionary Quantum Logic Synthesis of Boolean Reversible Logic Circuits Embedded in Ternary Quantum Space using Heuristics

Maartin Lukac, Marek Perkowski, Michitaka Kameyama

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Tags: Artificial intelligence, CUDA, Genetic programming, nVidia, Physics, Quantum Physics

July 19, 2011 by hgpu

Programming Challenges for the Implementation of Numerical Quadrature in Atomic Physics on FPGA and GPU Accelerators

C.J. Gillan, T. Steinke, J. Bock, S. Borchert, I. Spence, N.S. Scott

Tags: FPGA, Heterogeneous systems, Physics, Quantum Physics

May 5, 2011 by hgpu

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

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high performance computing on graphics processing units: hgpu.org

Computational investigation of intense short-wavelength laser interaction with rare gas clusters

Acceleration of Diagrammatic Determinantal Quantum Monte Carlo Calculations using GPUs

Coherent transport by adiabatic passage on atom chips

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

GPU accelerated Trotter-Suzuki solver for quantum spin dynamics

Exploring complex quantum systems with a hybrid CPU-GPU computing platform

A Second-Order Distributed Trotter-Suzuki Solver with a Hybrid Kernel

An open source MATLAB program for fast numerical Feynman integral calculations for open quantum system dynamics on GPUs

High Performance Error Correction for Quantum Key Distribution using Polar Codes

An OpenCL implementation for the solution of TDSE on GPU and CPU architectures

Evolutionary Quantum Logic Synthesis of Boolean Reversible Logic Circuits Embedded in Ternary Quantum Space using Heuristics

Programming Challenges for the Implementation of Numerical Quadrature in Atomic Physics on FPGA and GPU Accelerators

Recent source codes

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

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