Exploring FPGA Optimizations in OpenCL for Breadth-First Search on Sparse Graph Datasets. - Atharva Gondhalekar; Wu-Chun Feng (FPL, 2020)

MetaCL: Automated "Meta" OpenCL Code Generation for High-Level Synthesis on FPGA. - Paul Sathre; Atharva Gondhalekar; Mohamed W. Hassan; Wu-Chun Feng (HPEC, 2020)

ComputeCOVID19+: Accelerating COVID-19 Diagnosis and Monitoring via High-Performance Deep Learning on CT Images. - Garvit Goel; Atharva Gondhalekar; Jingyuan Qi; Zhicheng Zhang; Guohua Cao; Wu Feng (ICPP, 2021)

On the Characterization of the Performance-Productivity Gap for FPGA. - Atharva Gondhalekar; Thomas Twomey; Wu-chun Feng (HPEC, 2022)

Edge-Connected Jaccard Similarity for Graph Link Prediction on FPGA. - Paul Sathre; Atharva Gondhalekar; Wu-chun Feng (HPEC, 2022)

On the Three P's of Parallel Programming for Heterogeneous Computing: Performance, Productivity, and Portability. - Atharva Gondhalekar; Wu-chun Feng (HPEC, 2023)

Experiences with VITIS AI for Deep Reinforcement Learning. - Nabayan Chaudhury; Atharva Gondhalekar; Wu-Chun Feng (HPEC, 2024)