Leonid Oliker

Lawrence Berkeley National Laboratory — United States

Computer Science · Physical Sciences

32h-index3.6kcitations225works2.22yr avg
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Research Topics

Parallel Computing and Optimization Techniques(137), Advanced Data Storage Technologies(94), Distributed and Parallel Computing Systems(83), Interconnection Networks and Systems(23), Magnetic confinement fusion research(22)

Publications224 total

Benchmark-driven Models for Energy Analysis and Attribution of GPU-Accelerated Supercomputing
2025· 1 citedOpen Access
Roofline Analysis of Tightly-Coupled CPU-GPU Superchips: A Study on MI300A and GH200
2025· 1 citedOpen Access
Transfer learning nonlinear plasma dynamic transitions in low dimensional embeddings via deep neural networks
Machine Learning Science and Technology·2025Open Access
StFT: Spatio-temporal Fourier Transformer for Long-term Dynamics Prediction
arXiv (Cornell University)·2025Open Access
A Workflow Roofline Model for End-to-End Workflow Performance Analysis
2024· 5 citedOpen Access
Evaluating the potential of disaggregated memory systems for HPC applications
Concurrency and Computation Practice and Experience·2024· 6 citedOpen Access
FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural Networks
arXiv (Cornell University)·2024Open Access
GenomeFace: a deep learning-based metagenome binner trained on 43,000 microbial genomes
2024· 6 citedOpen Access
FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings (FTL) v1.0
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)·2024· 1 citedOpen Access
Evaluating the Potential of Disaggregated Memory Systems for HPC applications
arXiv (Cornell University)·2023Open Access
Methodology for Evaluating the Potential of Disaggregated Memory Systems
2022· 7 cited
Table of Contents
2022Open Access
Preprocessing Pipeline Optimization for Scientific Deep Learning Workloads
2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)·2022· 3 cited
Architectural Requirements for Deep Learning Workloads in HPC Environments
2021· 15 citedOpen Access
Hardware Evaluation Analytical Modeling and Node Simulation: Benefits of Tighter GPU Integration
2021Open Access
Two new SciDAC institutes promote mathematical tools and software technology for high-performance computing
2020Open Access
Performance Analysis of GPU Programming Models Using the Roofline Scaling Trajectories
Lecture notes in computer science·2020· 9 cited
Timemory: Modular Performance Analysis for HPC.
ISC·2020· 2 cited
Timemory: Modular Performance Analysis for HPC
Lecture notes in computer science·2020· 22 citedOpen Access
An Empirical Roofline Methodology for Quantitatively Assessing Performance Portability
2018· 50 cited
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Frequent Co-authors

Samuel Williams(24), John Shalf(22), Rupak Biswas(12), Shoaib Kamil(9), Hongzhang Shan(9), Jonathan Carter(8), S. Ethier(8), Katherine Yelick(7), Jack Deslippe(6), Brian Van Straalen(5), Parry Husbands(5), Douglas W. Doerfler(4), Brandon Cook(4), Thorsten Kurth(4), Andrew Canning(4), Kamesh Madduri(4), Mary Hall(3), Mathieu Lobet(3), Tareq B. Malas(3), Jean-Luc Vay(3)