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Classical Simulation of Quantum Adiabatic Algorithms using Mathematica on GPUs

Sandra Diaz-Pier, Salvador E. Venegas-Andraca, Jose Luis Gomez-Munoz

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce 8800 GTX, Package, Physics, Quantum Physics, SAT, Symbolic Computation

March 9, 2011 by hgpu

Accelerating the Fourier split operator method via graphics processing units

Heiko Bauke, Christoph H. Keitel

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Tags: Computational Physics, CUDA, FFT, nVidia, nVidia GeForce GTX 480, Physics, Quantum Physics, Tesla M2050

December 20, 2010 by hgpu

Efficient GPU Implementation of Multi-Precision Integer Division

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

exa-AMD: Exascale Accelerated Materials Discovery

Accelerated discovery and design of Fe-Co-Zr magnets with tunable magnetic anisotropy through machine learning and parallel computing

WiLLM: An Open Wireless LLM Communication System

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

No More Shading Languages: Compiling C++ to Vulkan Shaders

hpcbench: A set of benchmarking utilities for biomolecular simulation tools

Engineering Supercomputing Platforms for Biomolecular Applications

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

HPCTransCompile: An AI Compiler Generated Dataset for High-Performance CUDA Transpilation and LLM Preliminary Exploration

chemtrain: Training Molecular Dynamics Potentials in JAX

chemtrain-deploy: A parallel and scalable framework for machine learning potentials in million-atom MD simulations

microSYCL: SYCL micro-benchmarks repository

Exploring SYCL as a Portability Layer for High-Performance Computing on CPUs

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