Marco Siracusa

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Scientific Computing

Design Space Exploration

Fpga Implementation

Top Venues

Publications

Marco Siracusa, Víctor Soria Pardos, Francesco Sgherzi, Joshua Randall, Douglas J. Joseph, Miquel Moretó Planas, Adrià Armejach
A Tensor Marshaling Unit for Sparse Tensor Algebra on General-Purpose Processors. MICRO (2023)
Francesco Sgherzi, Marco Siracusa, Ivan Fernandez, Adrià Armejach, Miquel Moretó
SpChar: Characterizing the Sparse Puzzle via Decision Trees. CoRR (2023)
Tan Nguyen, Colin MacLean, Marco Siracusa, Douglas Doerfler, Nicholas J. Wright, Samuel Williams
FPGA-based HPC accelerators: An evaluation on performance and energy efficiency. Concurr. Comput. Pract. Exp. 34 (20) (2022)
Marco Siracusa, Emanuele Del Sozzo, Marco Rabozzi, Lorenzo Di Tucci, Samuel Williams, Donatella Sciuto, Marco Domenico Santambrogio
A Comprehensive Methodology to Optimize FPGA Designs via the Roofline Model. IEEE Trans. Computers 71 (8) (2022)
Francesco Sgherzi, Alberto Parravicini, Marco Siracusa, Marco Domenico Santambrogio
Solving Large Top-K Graph Eigenproblems with a Memory and Compute-optimized FPGA Design. CoRR (2021)
Douglas Doerfler, Farzad Fatollahi-Fard, Colin MacLean, Tan Nguyen, Samuel Williams, Nicholas J. Wright, Marco Siracusa
Experiences Porting the SU3_Bench Microbenchmark to the Intel Arria 10 and Xilinx Alveo U280 FPGAs. IWOCL (2021)
Francesco Sgherzi, Alberto Parravicini, Marco Siracusa, Marco D. Santambrogio
Solving Large Top-K Graph Eigenproblems with a Memory and Compute-optimized FPGA Design. FCCM (2021)
Alberto Parravicini, Luca Giuseppe Cellamare, Marco Siracusa, Marco D. Santambrogio
Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs. DAC (2021)
Alberto Parravicini, Luca Giuseppe Cellamare, Marco Siracusa, Marco Domenico Santambrogio
Scaling up HBM Efficiency of Top-K SpMV for Approximate Embedding Similarity on FPGAs. CoRR (2021)
Marco Siracusa, Marco Rabozzi, Emanuele Del Sozzo, Lorenzo Di Tucci, Samuel Williams, Marco D. Santambrogio
A CAD-based methodology to optimize HLS code via the Roofline model. ICCAD (2020)
Tan Nguyen, Samuel Williams, Marco Siracusa, Colin MacLean, Douglas Doerfler, Nicholas J. Wright
The Performance and Energy Efficiency Potential of FPGAs in Scientific Computing. PMBS@SC (2020)
Marco Siracusa, Fabrizio Ferrandi
Tensor Optimization for High-Level Synthesis Design Flows. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (11) (2020)
Marco Siracusa, Marco Rabozzi, Emanuele Del Sozzo, Marco D. Santambrogio, Lorenzo Di Tucci
Automated Design Space Exploration and Roofline Analysis for FPGA-Based HLS Applications. FCCM (2019)