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Techniques for designing GPGPU games

Mark Joselli, Jose Ricardo da Silva Junior, Marcelo Zamith, Esteban Clua, Mateus Pelegrino, Evandro Mendonca, Eduardo Soluri

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Tags: Artificial intelligence, Computer science, CUDA, Game physics, nVidia, nVidia GeForce 8200 M

October 23, 2012 by hgpu

An adaptative game loop architecture with automatic distribution of tasks between CPU and GPU

Mark Joselli, Marcelo Zamith, Esteban Clua, Anselmo Montenegro, Regina Leal-Toledo, Aura Conci, Paulo Pagliosa, Luis Valente, Bruno Feijo

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Tags: Computer science, CUDA, Games, nVidia, nVidia GeForce 8200 M, nVidia GeForce 8400 GS, nVidia GeForce 8800 GTS, Performance, Task scheduling

September 19, 2011 by hgpu

A Hybrid Method for Computing Apparent Ridges

Eric Jardim, Luiz Henrique de Figueiredo

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce 8200 M, nVidia Quadro FX 5600, Rendering

August 2, 2011 by hgpu

GpuWars: Design and Implementation of a GPGPU Game

Mark Joselli, Esteban Clua

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Tags: Artificial intelligence, Computer science, CUDA, Game physics, Games, nVidia, nVidia GeForce 8200 M, nVidia GeForce 8800 GS

April 5, 2011 by hgpu

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

XaaS containers

Acceleration as a Service (XaaS) Source Containers

SYCL Container

Exploring SYCL for batched kernels with memory allocations

CASS: Cuda-Amd aSSembly

CASS: Nvidia to AMD Transpilation with Data, Models, and Benchmark

Cluser of smartphones for edge computing application using TensorFlow

Low-cost edge computing using upcycled smartphones

CFAL-bench

Comparing Parallel Functional Array Languages: Programming and Performance

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration

Can Large Language Models Predict Parallel Code Performance?

Can Large Language Models Predict Parallel Code Performance?

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