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Welcome! I am an assistant professor in the Department of Computer Science at the University of Pittsburgh. I received my Ph.D. from Penn State, where I worked with my advisors Dr. Mahmut T. Kandemir and Dr. Chita R. Das on high-performance computing and advanced computer architectures. Contact:
210 S. Bouquet Street, SENSQ 6115.
Department of Computer Science,
University of Pittsburgh, Pittsburgh, PA, 15213 |
Towards High-Fidelity, Scalable, and Accessible Quantum Computing Systems. StableQ workshop colocated with MICRO 2024
Towards High-Fidelity, Scalable, and Accessible Quantum Computing Systems. Pitt SCI Dean's Spotlight
Compilation in Measurement-Based Quantum Computing. Pitt Quantum Institute 2024
Towards Efficient and Scalable Computing for Multi-GPUs. Shanghai Jiao Tong University
Towards Efficient and Scalable Computing for Multi-GPUs. University of Science and Technology of China
Towards Efficient and Scalable Computing for Multi-GPUs. Sun Yat-sen University
Towards Efficient and Scalable Computing for Multi-GPUs. The Hong Kong University of Science and Technology
CEGMA: Coordinated Elastic Graph Matching Acceleration for Graph Matching Networks. HPCA 2023
Embracing Heterogeneity in Modern GPUs.Pitt Momentum 2021
Mix and Match: Reorganizing Tasks for Enhancing Data Locality. SIGMETRICS 2021
Optimizing Quantum Circuit Simulation/Emulation on HPC Platforms. Pitt Quantum Institute 2020
Enhancing address translation in GPUs through compression Intel
Enhancing Address Translations in Throughput Processors via Compression. PACT 2020
Co-Optimizing Memory-Level Parallelism and Cache-Level Parallelism. PLDI 2019
Computing with Near Data. SIGMETRICS 2019
Irregularity-aware Computation and Data Management in Manycore Systems. Job talk at multiple universities, Spring 2019
Quantifying and Optimizing Data Access Parallelism on Manycores. MASCOTS 2018
Scheduling in the cloud. MASCOTS 2018
Enhancing Computation-to-Core Assignment with Physical Location Information. PLDI 2018
Data Movement Aware Computation Partitioning. MICRO 2017
DEMM: a Dynamic Energy-saving mechanism for Multicore. MASCOTS 2017
Controlled Kernel Launch for Dynamic Parallelism in GPUs. HPCA 2017
Improving Bank-Level Parallelism for Irregular Applications. MICRO 2016
Memory Row Reuse Distance and its Role in Optimizing Application Performance. SIGMETRICS 2015