Alert button
Picture for Prasanna Balaprakash

Prasanna Balaprakash

Alert button

Oak Ridge National Laboratory

AI Competitions and Benchmarks: Dataset Development

Add code
Bookmark button
Alert button
Apr 15, 2024
Romain Egele, Julio C. S. Jacques Junior, Jan N. van Rijn, Isabelle Guyon, Xavier Baró, Albert Clapés, Prasanna Balaprakash, Sergio Escalera, Thomas Moeslund, Jun Wan

Viaarxiv icon

Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach

Add code
Bookmark button
Alert button
Apr 10, 2024
Yixuan Sun, Ololade Sowunmi, Romain Egele, Sri Hari Krishna Narayanan, Luke Van Roekel, Prasanna Balaprakash

Viaarxiv icon

The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization

Add code
Bookmark button
Alert button
Apr 05, 2024
Romain Egele, Felix Mohr, Tom Viering, Prasanna Balaprakash

Viaarxiv icon

Transfer-Learning-Based Autotuning Using Gaussian Copula

Add code
Bookmark button
Alert button
Jan 09, 2024
Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul Hovland, Mary Hall, Rong Ge, Prasanna Balaprakash

Viaarxiv icon

Optimizing Distributed Training on Frontier for Large Language Models

Add code
Bookmark button
Alert button
Dec 21, 2023
Sajal Dash, Isaac Lyngaas, Junqi Yin, Xiao Wang, Romain Egele, Guojing Cong, Feiyi Wang, Prasanna Balaprakash

Viaarxiv icon

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies

Add code
Bookmark button
Alert button
Oct 11, 2023
Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael Irvin, J. Gregory Pauloski, Logan Ward, Valerie Hayot, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian Foster, James J. Davis, Michael E. Papka, Thomas Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi Hanson, Thomas E Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin Aji, Angela Dalton, Michael Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens

Figure 1 for DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
Figure 2 for DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
Figure 3 for DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
Figure 4 for DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
Viaarxiv icon

Self-supervised Learning for Anomaly Detection in Computational Workflows

Add code
Bookmark button
Alert button
Oct 02, 2023
Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Ewa Deelman, Prasanna Balaprakash

Figure 1 for Self-supervised Learning for Anomaly Detection in Computational Workflows
Figure 2 for Self-supervised Learning for Anomaly Detection in Computational Workflows
Figure 3 for Self-supervised Learning for Anomaly Detection in Computational Workflows
Figure 4 for Self-supervised Learning for Anomaly Detection in Computational Workflows
Viaarxiv icon

Parallel Multi-Objective Hyperparameter Optimization with Uniform Normalization and Bounded Objectives

Add code
Bookmark button
Alert button
Sep 26, 2023
Romain Egele, Tyler Chang, Yixuan Sun, Venkatram Vishwanath, Prasanna Balaprakash

Viaarxiv icon

Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation

Add code
Bookmark button
Alert button
Sep 12, 2023
Pedro Valero-Lara, Alexis Huante, Mustafa Al Lail, William F. Godoy, Keita Teranishi, Prasanna Balaprakash, Jeffrey S. Vetter

Figure 1 for Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation
Figure 2 for Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation
Figure 3 for Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation
Figure 4 for Comparing Llama-2 and GPT-3 LLMs for HPC kernels generation
Viaarxiv icon

Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures

Add code
Bookmark button
Alert button
Aug 08, 2023
Sandeep Madireddy, Angel Yanguas-Gil, Prasanna Balaprakash

Figure 1 for Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
Figure 2 for Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
Figure 3 for Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
Figure 4 for Improving Performance in Continual Learning Tasks using Bio-Inspired Architectures
Viaarxiv icon