David Ojika

Orcid: 0000-0003-0911-1893

According to our database1, David Ojika authored at least 12 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
RISCBench: Benchmarking RISC-V Orchestration Efficiency in FPGA and FPGA-Like Computing Engines.
CoRR, March, 2026

<i>RISCBench</i>: Benchmarking RISC-V Orchestration Efficiency in FPGA and FPGA-Like Computing Engines: An Industry Evaluation of Control-Plane Bottlenecks and Sustained Throughput Metrics.
Proceedings of the 2026 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2026

2022
FSHMEM: Supporting Partitioned Global Address Space on FPGAs for Large-Scale Hardware Acceleration Infrastructure.
Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

2021
Towards Sustainable Energy-Efficient Data Centers in Africa.
CoRR, 2021

Optimized FPGA-based Deep Learning Accelerator for Sparse CNN using High Bandwidth Memory.
Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

2020
Addressing the Memory Bottleneck in AI Model Training.
CoRR, 2020

2019
Acceleration of Scientific Deep Learning Models on Heterogeneous Computing Platform with Intel<sup>®</sup> FPGAs.
Proceedings of the High Performance Computing, 2019

PCS: A Productive Computational Science Platform.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

Accelerating Scientific Discovery with SCAIGATE Science Gateway.
Proceedings of the 15th International Conference on eScience, 2019

2018
Research Opportunities in Heterogeneous Computing for Machine Learning.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

2017
Accelerating High-energy Physics Exploration with Deep Learning.
Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

SWiF: A Simplified Workload-Centric Framework for FPGA-Based Computing.
Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017


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