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A New High Performance GPU-based Approach to Prime Numbers Generation

A. Nezarat, M.M. Raja, G. Dastghaybifard

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Tags: Algorithms, CUDA, nVidia, nVidia 9600 GT, nVidia GeForce GTX 570, Security

March 30, 2014 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

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Tilus: A Tile-Level GPU Kernel Programming Language

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

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BoltzGen:Toward Universal Binder Design

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

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

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MATLAB Tensor Core models

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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

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