most citedTransfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2023

ParaGraph: Weighted Graph Representation for Performance Optimization of HPC Kernels

Ali TehraniJamsaz, Alok Mishra, Akash Dutta +3

GPU-based HPC clusters are attracting more scientific application developers due to their extensive parallelism and energy efficiency. In order to achieve portability among a varie…

cs.PL2023★ 2 cited

Transfer Learning Across Heterogeneous Features For Efficient Tensor Program Generation

Gaurav Verma, Siddhisanket Raskar, Zhen Xie +3

Tuning tensor program generation involves searching for various possible program transformation combinations for a given program on target hardware to optimize the tensor program e…

cs.DC2023

OpenMP Advisor

Alok Mishra, Abid M. Malik, Meifeng Lin +1

With the increasing diversity of heterogeneous architecture in the HPC industry, porting a legacy application to run on different architectures is a tough challenge. In this paper,…

cs.DC2020

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool

Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi +11

Because of the limits input/output systems currently impose on high-performance computing systems, a new generation of workflows that include online data reduction and analysis is…

math.OC2020★ 1 cited

Bounding the expected run-time of nonconvex optimization with early stopping

Thomas Flynn, Kwang Min Yu, Abid Malik +2

This work examines the convergence of stochastic gradient-based optimization algorithms that use early stopping based on a validation function. The form of early stopping we consid…