Atharva Gondhalekar

11 papers B 2Journal 1Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
Characterization of Sparsity-aware Parallelization of Jaccard Similarity in Graph Datasets.
HPEC
Atharva Gondhalekar, Paul Sathre, Wu-chun Feng
2025 J jnl
Mapping Sparse Triangular Solves to GPUs via Fine-grained Domain Decomposition.
CoRR
Atharva Gondhalekar, Kjetil Haugen, Thomas Gibson, Wu-chun Feng
2025 — conf
On the Adaptation of Mixed-Radix Fast Fourier Transform for Resource-Constrained Environments.
HPEC
Atharva Gondhalekar, Paul Sathre, Wu-chun Feng
2025 — conf
Sparsity-aware Kernel Selection for Edge-Connected Jaccard Similarity in Graph Datasets.
ICPP Workshops
Atharva Gondhalekar, Paul Sathre, Nabayan Chaudhury, Wu-chun Feng
2024 — conf
Experiences with VITIS AI for Deep Reinforcement Learning.
HPEC
Nabayan Chaudhury, Atharva Gondhalekar, Wu-chun Feng
2023 — conf
On the Three P's of Parallel Programming for Heterogeneous Computing: Performance, Productivity, and Portability.
HPEC
Atharva Gondhalekar, Wu-chun Feng
2022 — conf
Edge-Connected Jaccard Similarity for Graph Link Prediction on FPGA.
HPEC
Paul Sathre, Atharva Gondhalekar, Wu-chun Feng
2022 — conf
On the Characterization of the Performance-Productivity Gap for FPGA.
HPEC
Atharva Gondhalekar, Thomas Twomey, Wu-chun Feng
2021 B conf
ComputeCOVID19+: Accelerating COVID-19 Diagnosis and Monitoring via High-Performance Deep Learning on CT Images.
ICPP
Garvit Goel, Atharva Gondhalekar, Jingyuan Qi, Zhicheng Zhang, Guohua Cao, Wu-chun Feng
2020 B conf
Exploring FPGA Optimizations in OpenCL for Breadth-First Search on Sparse Graph Datasets.
FPL
Atharva Gondhalekar, Wu-chun Feng
2020 — conf
MetaCL: Automated "Meta" OpenCL Code Generation for High-Level Synthesis on FPGA.
HPEC
Paul Sathre, Atharva Gondhalekar, Mohamed W. Hassan, Wu-chun Feng