Michael Frank

Orcid: 0009-0004-5963-2165

Affiliations:
  • Arteris Inc., Campbell, CA, USA
  • LG Mobile Research, San Jose Lab, Santa Clara, CA, USA (former)


According to our database1, Michael Frank authored at least 11 papers between 2016 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Boosting Task Scheduling Data Locality with Low-latency, HW-accelerated Label Propagation.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

2024
Enabling HW-Based Task Scheduling in Large Multicore Architectures.
IEEE Trans. Computers, January, 2024

2023
Tensor slicing and optimization for multicore NPUs.
J. Parallel Distributed Comput., May, 2023

Addressing DRAM Performance Analysis Challenges for Network-on-Chip (NoC) Design.
Proceedings of the International Symposium on Memory Systems, 2023

2021
Efficient Tensor Slicing for Multicore NPUs using Memory Burst Modeling.
Proceedings of the 33rd IEEE International Symposium on Computer Architecture and High Performance Computing, 2021

2019
JetsonLEAP: A framework to measure power on a heterogeneous system-on-a-chip device.
Sci. Comput. Program., 2019

Adding Tightly-Integrated Task Scheduling Acceleration to a RISC-V Multi-core Processor.
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

2018
A Compiler-Centric Infra-Structure for Whole-Board Energy Measurement on Heterogeneous Android Systems.
Proceedings of the 13th International Symposium on Reconfigurable Communication-centric Systems-on-Chip, 2018

2016
JetsonLeap: A Framework to Measure Energy-Aware Code Optimizations in Embedded and Heterogeneous Systems.
Proceedings of the Programming Languages - 20th Brazilian Symposium, 2016

Task parallel programming model + hardware acceleration = performance advantage.
Proceedings of the 2016 IEEE Hot Chips 28 Symposium (HCS), 2016

ParallelME: A Parallel Mobile Engine to Explore Heterogeneity in Mobile Computing Architectures.
Proceedings of the Euro-Par 2016: Parallel Processing, 2016


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