Updated On - 03:09:58 PM CDT November 04, 2022
I’m a Computer Science Ph.D. Student at Northwestern University. I’m part of the Prescience Lab at Northwestern, led by Peter Dinda. Broadly, my interests lie in the realm of high-performance computing, extremely heterogeneous systems, and performance portability. More specifically, I’m interested in improving the utilization of diverse hardware resources within/across systems by looking at solutions bridging layers of the hardware-software stack.
You can download my CV here.
I am currently a second-year Ph.D. student on the Systems track in Computer Science at Northwestern University. I’m interested in extreme heterogeneity as it relates to HPC systems.
I graduated in May of 2021 with a degree in Computer Engineering from Clemson University. Some of the courses I have taken include: HPC Fault Tolerance, Digital Design using VHDL, Computer Organization, Embedded Computing, GPU Programming, and Operating Systems. In addition to my degree, I also obtained a minor in Spanish Studies.
I’m currently a second-year PhD student, part of the Prescience Lab at Northwestern University. My research focuses on addressing challenges related to extreme heterogeneity in future parallel, distributed, and HPC systems through HW/SW Co-design of programming languages, compilers/runtimes, and architectures.
Over the summer of 2022 I worked as an R&D Intern in the Scalable Algorithms Group at Sandia National Laboratory. My work involved evaluating novel architectures for viability in future heterogeneous systems. I focused on Nextsilicon’s HPC focused architecture and toolchain, as well as it’s interaction with the Kokkos programming model for performance portability.
Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon Calhoun, and Franck Cappello, “Efficient Error-Bounded Lossy Compression for CPU Architectures,” To Appear in 2022 30th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS).
Griffin Dube, Cavender Holt, John Hollowell, Sarah Placke, Sansriti Ranjan, Nikolas Heitzig, and Jon Calhoun, “Critique of “MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization” by SCC Team From Clemson University," in IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 9, pp. 2054-2057, 1 Sept. 2022, doi: 10.1109/TPDS.2021.3108961.