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 Portable, Fast, DCT-based Compressor for AI Accelerators , PROCEEDINGS OF THE 33RD INTERNATIONAL SYMPOSIUM ON HIGH-PERFORMANCE PARALLEL AND DISTRIBUTED COMPUTING, HPDC 2024 (2024)
• A Transducers-based Programming Framework for Efficient Data Transformation , PROCEEDINGS OF THE 2024 THE INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES AND COMPILATION TECHNIQUES, PACT 2024 (2024)
• CAROL: Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications , 53RD INTERNATIONAL CONFERENCE ON PARALLEL PROCESSING, ICPP 2024 (2024)
• FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems , PROCEEDINGS OF THE 38TH ACM INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, ACM ICS 2024 (2024)
• Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing , PROCEEDINGS 2024 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, IPDPS 2024 (2024)
• 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)

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