Yuan Meng is a Ph.D candidate in Computer Engineering at University of Southern California under the advisement of professor Viktor K. Prasanna. Her research interests are accelerating computationally intensive algorithms on heterogeneous computing platforms, and developing portable software and libraries for the same. Her current focus is accelerating Deep Reinforcement Learning algorithms on composable infrastructures with shared-memory, data parallel architecture (CPU, GPU) and spatial architecture (FPGA).
PhD in Computer Engineering, Ongoing
University of Southern California
BSc in Electrical and Computer Engineering, 2019
Rensselaer Polytechnic Institute
P-Threads, OpenMP, MPI, SYCL
High-Level Synthesis, OpenCL
Arduino, stm32 microprocessors, Raspberry Pi