AAPP: An Accelerative and Adaptive Path Planner for Robots on GPU
Optimal path planning is one of the major bottlenecks for the effective navigation of robots
working towards accomplishing complex missions. To overcome the bottleneck and support …
working towards accomplishing complex missions. To overcome the bottleneck and support …
SpEpistasis: A sparse approach for three-way epistasis detection
Epistasis detection is a fundamental application in the areas of bioinformatics and
biomedicine, providing important insights regarding the relationship between the human …
biomedicine, providing important insights regarding the relationship between the human …
IAP-SpTV: An input-aware adaptive pipeline SpTV via GCN on CPU-GPU
Sparse tensor-times-vector (SpTV) is the core computation of tensor decomposition.
Optimizing the computational performance of SpTV on CPU-GPU becomes a challenge due …
Optimizing the computational performance of SpTV on CPU-GPU becomes a challenge due …
OptiCPD: Optimization For The Canonical Polyadic Decomposition Algorithm on GPUs
S Subramaniyan, X Wang - 2023 IEEE International Parallel …, 2023 - ieeexplore.ieee.org
Tensor decomposition is a key operation in many data analytics and machine learning
applications for extracting previously unknown patterns from sparse and/or multivariate data …
applications for extracting previously unknown patterns from sparse and/or multivariate data …
Cache Cohort GPU Scheduling
V Ramakrishnaiah, B Beckmann, P Ehrett… - Proceedings of the 16th …, 2024 - dl.acm.org
With the ever-improving computation capability of GPUs, there is an increasing demand for
higher memory bandwidth to supply the GPU cores with data. One way to improve effective …
higher memory bandwidth to supply the GPU cores with data. One way to improve effective …