Joshua Bakita

Orcid: 0009-0007-2856-5774

According to our database1, Joshua Bakita authored at least 17 papers between 2018 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2025
Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems (Artifact).
Dataset, July, 2025

The advantage of the GPU as a real-time AI accelerator.
Real Time Syst., June, 2025

Work in Progress: Increasing Schedulability via on-GPU Scheduling.
Proceedings of the 31st IEEE Real-Time and Embedded Technology and Applications Symposium, 2025

Concurrent FFT Execution on GPUs in Real-Time.
Proceedings of the 33rd Euromicro International Conference on Parallel, 2025

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems.
Proceedings of the 37th Euromicro Conference on Real-Time Systems, 2025

2024
Demystifying NVIDIA GPU Internals to Enable Reliable GPU Management.
Proceedings of the 30th IEEE Real-Time and Embedded Technology and Applications Symposium, 2024

2023
Hardware Compute Partitioning on NVIDIA GPUs.
Proceedings of the 29th IEEE Real-Time and Embedded Technology and Applications Symposium, 2023

2022
Enabling GPU Memory Oversubscription via Transparent Paging to an NVMe SSD.
Proceedings of the IEEE Real-Time Systems Symposium, 2022

Minimizing DAG Utilization by Exploiting SMT.
Proceedings of the 28th IEEE Real-Time and Embedded Technology and Applications Symposium, 2022

2021
Statically optimal dynamic soft real-time semi-partitioned scheduling.
Real Time Syst., 2021

TimeWall: Enabling Time Partitioning for Real-Time Multicore+Accelerator Platforms.
Proceedings of the 42nd IEEE Real-Time Systems Symposium, 2021

Simultaneous Multithreading in Mixed-Criticality Real-Time Systems.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

2020
Simultaneous Multithreading and Hard Real Time: Can it be Safe? (Artifact).
Dagstuhl Artifacts Ser., 2020

2019
Simultaneous Multithreading Applied to Real Time (Artifact).
Dagstuhl Artifacts Ser., 2019

Re-Thinking CNN Frameworks for Time-Sensitive Autonomous-Driving Applications: Addressing an Industrial Challenge.
Proceedings of the 25th IEEE Real-Time and Embedded Technology and Applications Symposium, 2019

Simultaneous Multithreading Applied to Real Time.
Proceedings of the 31st Euromicro Conference on Real-Time Systems, 2019

2018
Avoiding Pitfalls when Using NVIDIA GPUs for Real-Time Tasks in Autonomous Systems.
Proceedings of the 30th Euromicro Conference on Real-Time Systems, 2018


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