Sasindu Wijeratne
Scholar

Sasindu Wijeratne

Google Scholar ID: KWWUWBIAAAAJ
University of Southern California
Parallel ComputingHigh Performance ComputingReconfigurable ComputingTensor DecompositionGraph Neural Networks
Citations & Impact
All-time
Citations
100
 
H-index
7
 
i10-index
2
 
Publications
20
 
Co-authors
23
list available
Resume (English only)
Academic Achievements
  • February 1, 2023 - Became a PhD Candidate
  • February 1, 2023 - Paper will appear in FPGA 2023
  • February 5, 2023 - Received the ACM travel grant to attend FPGA 2023
  • September 27, 2023 - Selected as an USC MHI Ph.D. Scholar Finalist
  • September 30, 2023 - Paper, Dynasor, selected as a best paper candidate at 35th IEEE International Symposium on Computer Architecture and High Performance Computing
  • February 15, 2024 - Paper on accelerating MTTKRP on GPUs accepted as a full paper in CF' 24
  • September 18, 2024 - Paper on Accelerating Sparse MTTKRP for Small Tensor Decomposition on GPU selected as a best paper candidate at Asilomar Conference on Signals, Systems, and Computers
  • September 24, 2024 - Paper on Predictive Performance of Photonic SRAM-based In-Memory Computing for Tensor Decomposition selected as the best student paper at HPEC 2024
  • November 8, 2024 - Poster on Taming Sparse Tensor Decomposition: Unified Acceleration Framework received Outstanding Poster Award (Parallel and Distributed Computing track) at 14th Annual Research Festival organized by USC Ming Hsieh Department of Electrical Engineering
  • June 10, 2025 - Paper, AMPED, accepted as a full paper at the 54th International Conference on Parallel Processing
Background
  • Research interests include developing parallel algorithms and custom hardware designs for sparse algebraic applications, including tensor decomposition and scalable static/dynamic graph processing. Current research focuses on tensor decomposition on heterogeneous systems.
Miscellany
  • Personal interest: Powerlifting, total weight: 1065 LB (Deadlift: 475 LB, Squat: 365 LB, Bench: 225 LB, at 180 LB)