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Sparse matrix-dense matrix multiplication on heterogeneous CPU+FPGA embedded system (2020)
Conference Proceeding
Hosseinabady, M., & Nunez-Yanez, J. (2020). Sparse matrix-dense matrix multiplication on heterogeneous CPU+FPGA embedded system. In Proceedings of the 11th Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures / 9th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms. https://doi.org/10.1145/3381427.3381428

Embedded intelligence is becoming the primary driver for new applications in industry, healthcare, and automotive, to name a few. The main characteristics of these applications are high computational demand, real-time interaction with the environment... Read More about Sparse matrix-dense matrix multiplication on heterogeneous CPU+FPGA embedded system.

Run-time power modelling in embedded GPUs with dynamic voltage and frequency scaling (2020)
Conference Proceeding
Nunez-Yanez, J., Nikov, K., Eder, K., & Hosseinabady, M. (2020). Run-time power modelling in embedded GPUs with dynamic voltage and frequency scaling. . https://doi.org/10.1145/3381427.3381429

This paper investigates the application of a robust CPU-based power modelling methodology that performs an automatic search of explanatory events derived from performance counters to embedded GPUs. A 64-bit Tegra TX1 SoC is configured with DVFS enabl... Read More about Run-time power modelling in embedded GPUs with dynamic voltage and frequency scaling.