Muhammad Usman Jamal

Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 35^th cycle (2019-2022)

Ph.D. obtained in 2023

Dissertation:

Improving Quality of Results for High-Level Synthesis based FPGA designs (Abstract)

Tutors:

Luciano Lavagno

Research presentation:

Video presentation

Profile

Research topic

Design of prefetching cache unit for FPGA-based accelerators

Research interests

Micro- and nanotechnologies, devices, systems and applications

VLSI theory, design and applications

Big Data, Machine Learning, Neural Networks and Data Science

Publications

Works published during the Ph.D. View all publications in Porto@Iris

Jamal, MUHAMMAD USMAN (2023)
Improving Quality of Results for High-Level Synthesis based FPGA designs. relatore: LAVAGNO, Luciano; , 35. XXXV Ciclo, P.: 109
Doctoral Thesis
Jamal, MUHAMMAD USMAN; Li, Zhuowei; Lazarescu, MIHAI T.; Lavagno, Luciano (2023)
A Graph Neural Network Model for Fast and Accurate Quality of Result Estimation for High-Level Synthesis. In: IEEE ACCESS, vol. 11, pp. 85785-85798. ISSN 2169-3536
Contributo su Rivista
Brignone, Giovanni; Jamal, Muhammad Usman; Lazarescu, Mihai T.; Lavagno, Luciano (2022)
Array-specific dataflow caches for high-level synthesis of memory-intensive algorithms on FPGAs. In: IEEE ACCESS, vol. 10, pp. 118858-118877. ISSN 2169-3536
Contributo su Rivista