5 citations · 5 across the 3 of their papers we have counts for
4 papers
Accelerating Transfer-Learning-Based Autotuning with Predictive LLVM IR Performance Ranking
Md Arafat Hossain, Thomas Randall, Akash Dutta +3
As the complexity of High Performance Computing (HPC) ecosys- tems continually increases, achieving optimal performance becomes a challenge. Traditional performance autotuning tech…
GALE: Leveraging Heterogeneous Systems for Efficient Unstructured Mesh Data Analysis
Guoxi Liu, Thomas Randall, Rong Ge +1
Unstructured meshes present challenges in scientific data analysis due to irregular distribution and complex connectivity. Computing and storing connectivity information is a major…
Transfer-Learning-Based Autotuning Using Gaussian Copula
Thomas Randall, Jaehoon Koo, Brice Videau +6
As diverse high-performance computing (HPC) systems are built, many opportunities arise for applications to solve larger problems than ever before. Given the significantly increase…
FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems
Thomas Randall, Tyler Allen, Rong Ge
Word2Vec remains one of the highly-impactful innovations in the field of Natural Language Processing (NLP) that represents latent grammatical and syntactical information in human t…