An optimized GPU implementation of a 2D free surface simulation model on unstructured meshes, Advances in Engineering Software, 78, 1-15, http://dx.doi.org/10.1016/j.advengsoft.2014.08.007A. Lacasta, M. Morales-Hern´andez, J. Murillo, P. Garc´ia-Navarro, An 685 optimized GPU ...
Implementing the himeno benchmark with cuda on gpu clusters IEEE International Symposium on Parallel Distributed Processing (IPDPS) (2010) P. Micikevicius, 3d finite difference computation on gpus using cuda, in: Proceedings of 2Nd Workshop on General... A. Vizitiu et al. Optimized three-dimen...
CUDA,GPUcomputing,BFS 1. INTRODUCTION Thegraphicsprocessingunit(GPU)hasbecomeapopu- larcost-effectiveparallelplatforminrecentyears.Although parallelexecutiononaGPUcaneasilyachievespeedupof tensorhundredsoftimesoverstraightforwardCPUimple- mentations,toaccelerateintelligentlydesignedandwellop- ...
demonstrate the effectiveness of our GPU implementation. Keywords-gpu; individual-based model; simulation; I. INTRODUCTION Individual-based simulation is a common way to implement autonomous characters or individuals to create crowds and other flock-like coordinated group motion. In this simulation ...
Tutel MoE: An Optimized Mixture-of-Experts Implementation, also the first parallel solution proposing"No-penalty Parallism/Sparsity/Capacity/.. Switching"for modern training and inference that have dynamic behaviors. Supported Framework: Pytorch (recommend: >= 1.10) ...
TVM produces efficient code for each operator by generating many valid implementations on each hardware back-end and choosing an optimized implementation. 张量表达式与调度 TVM 引入张量表达式来支持自动代码的生成,深度学习涉及的每一种算子都能够表示为特性的张量表达式: 从上图可以看出,张量表达式中表达的计算...
2D-TAN (Optimized) Introduction This is an optimized re-implementation repository for AAAI'2020 paper:Learning 2D Temporal Localization Networks for Moment Localization with Natural Language. We show advantages in speed and performance compared with the official implementation (https://github.com/microsoft...
TVM 在每种设备上会生成多种valid implementation, 然后从中选择optimized implementation. TVM 采用了和 Halide 类似的概念: *将 计算 和 调度 解耦。同时增加了新的优化方法:nested parallelism,tensorization和latency hiding Tensor Expression and Schedule Space ...
Imagination Technologies announces it has upgraded to the Premier RISC-V International membership level, further establishing its commitment to drive growth for the RISC-V ecosystem. At this Premier level, Shreyas Derashri, VP of Compute at Imagination,
SE(3)-Transformersare versatile graph neural networks unveiled at NeurIPS 2020. NVIDIA just released anopen-source optimized implementationthat uses 43x less memory and is up to 21x faster than thebaseline official implementation. SE(3)-Transformers are useful in dealing with problems...