Michela Becchi

Bio

My research interests lie broadly at the intersection between computer architecture, systems software, and applications. In particular, my current research activities spawn different directions: design of programming models, compiler and runtime techniques for heterogeneous systems containing coprocessor devices; acceleration of bioinformatics, pattern recognition, and data analytics algorithms on parallel architectures; and high-speed implementation of networking applications (e.g., deep packet inspection). I am interested in any kind of parallel hardware: multi-core CPUs, GPUs and other many-core devices, network processors, field programmable gate arrays, and clusters of computers. I enjoy working at the boundary between hardware and software.

Publications

• A Code Transformation to Improve the Efficiency of OpenCL Code on FPGA through Pipes , PROCEEDINGS OF THE 20TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2023, CF 2023 (2023)
• Evaluating Asynchronous Parallel I/O on HPC Systems , 2023 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, IPDPS (2023)
• GPU-Accelerated Error-Bounded Compression Framework for Quantum Circuit Simulations , 2023 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, IPDPS (2023)
• High-Level Synthesis of Irregular Applications: A Case Study on Influence Maximization , PROCEEDINGS OF THE 20TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS 2023, CF 2023 (2023)
• Lightweight Huffman Coding for Efficient GPU Compression , PROCEEDINGS OF THE 37TH INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, ACM ICS 2023 (2023)
• Runway: In-transit Data Compression on Heterogeneous HPC Systems , 2023 IEEE/ACM 23RD INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING, CCGRID (2023)
• Runway: In-transit Data Compression on Heterogeneous HPC Systems , 2023 IEEE/ACM 23RD INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING WORKSHOPS, CCGRIDW (2023)
• A GPU-accelerated Data Transformation Framework Rooted in Pushdown Transducers , 2022 IEEE 29TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, AND ANALYTICS, HIPC (2022)
• Accelerating Random Forest Classification on GPU and FPGA , 51ST INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, ICPP 2022 (2022)
• Exploring Thread Coarsening on FPGA , 2021 IEEE 28TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, AND ANALYTICS (HIPC 2021) (2021)

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