David Ojika

According to our database, David Ojika authored at least 10 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

FSHMEM: Supporting Partitioned Global Address Space on FPGAs for Large-Scale Hardware Acceleration Infrastructure.

Yashael Faith Arthanto, David Ojika, Joo-Young Kim

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

2021

Towards Sustainable Energy-Efficient Data Centers in Africa.

David Ojika, Jayson Strayer, Gaurav Kaul

CoRR, 2021

Optimized FPGA-based Deep Learning Accelerator for Sparse CNN using High Bandwidth Memory.

Chao Jiang, David Ojika, Bhavesh Patel, Herman Lam

Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

2020

Addressing the Memory Bottleneck in AI Model Training.

David Ojika, Bhavesh Patel, G. Anthony Reina, Trent Boyer, Chad Martin, Prashant Shah

CoRR, 2020

2019

Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel^® FPGAs.

Chao Jiang, Dave Ojika, Thorsten Kurth, Prabhat, Sofia Vallecorsa, Bhavesh Patel, Herman Lam

Proceedings of the High Performance Computing, 2019

PCS: A Productive Computational Science Platform.

David Ojika, Ann Gordon-Ross, Herman Lam, Shinjae Yoo, Younggang Cui, Zhihua Dong, Kirstin Kleese van Dam, Seyong Lee, Thorsten Kurth

Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Accelerating Scientific Discovery with SCAIGATE Science Gateway.

Chao Jiang, David Ojika, Bhavesh Patel, Ann Gordon-Ross, Herman Lam

Proceedings of the 15th International Conference on eScience, 2019

2018

Research Opportunities in Heterogeneous Computing for Machine Learning.

Herman Lam, David Ojika

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

2017

Accelerating High-energy Physics Exploration with Deep Learning.

Dave Ojika, Darin Acosta, Ann Gordon-Ross, Andrew Carnes, Sergei Gleyzer

Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

SWiF: A Simplified Workload-Centric Framework for FPGA-Based Computing.

David Ojika, Piotr Majcher, Wojciech Neubauer, Suchit Subhaschandra, Darin Acosta

Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017