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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

EASYPAP: a Framework for Learning Parallel Programming

EASYPAP: a Framework for Learning Parallel Programming

LOGAN: High-Performance GPU-Based X-Drop Long-Read Alignment

LOGAN: High-Performance GPU-Based X-Drop Long-Read Alignment

StarNEig: A Task-based Library for Solving Nonsymmetric Eigenvalue Problems

Task-based, GPU-accelerated and Robust Library for Solving Dense Nonsymmetric Eigenvalue Problems

FLAMEGPU: a high performance GPU extension to the FLAME framework

Working With Incremental Spatial Data During Parallel (GPU) Computation

CommAnalyzer

Automated Runtime Analysis and Adaptation for Scalable Heterogeneous Computing

elevate: implementation of the Elevate language

A Language for Describing Optimization Strategies

reproducibility of TensorFlow with ResNet

Non-Determinism in TensorFlow ResNets

SCHNAPS

Optimization of a discontinuous Galerkin solver with OpenCL and StarPU

Interoperable GPU Kernels as Latency Improver for MEC

Interoperable GPU Kernels as Latency Improver for MEC

MNN: a lightweight deep neural network inference engine

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices

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2020

April

27-29

Munich, Germany

8th International Workshop on OpenCL, including SYCLCon, 2019

2019

May

13-15

Boston, USA

7th International Workshop on OpenCL, 2019

2019

May

13

Boston, MA, USA

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

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14

Larnaca, Cyprus

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26-28

Rome, Italy

International Conference on Frontiers of Neural Networks (ICFNN), 2019

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