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Marco Maggioni
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2010 – 2019
- 2019
- [i3]Zhe Jia, Marco Maggioni, Jeffrey Smith, Daniele Paolo Scarpazza:
Dissecting the NVidia Turing T4 GPU via Microbenchmarking. CoRR abs/1903.07486 (2019) - [i2]Zhe Jia, Blake Tillman, Marco Maggioni, Daniele Paolo Scarpazza:
Dissecting the Graphcore IPU Architecture via Microbenchmarking. CoRR abs/1912.03413 (2019) - 2018
- [i1]Zhe Jia, Marco Maggioni, Benjamin Staiger, Daniele Paolo Scarpazza:
Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking. CoRR abs/1804.06826 (2018) - 2016
- [j1]Marco Maggioni, Tanya Y. Berger-Wolf:
Optimization techniques for sparse matrix-vector multiplication on GPUs. J. Parallel Distributed Comput. 93-94: 66-86 (2016) - 2014
- [c7]Marco Maggioni, Tanya Y. Berger-Wolf
:
CoAdELL: Adaptivity and Compression for Improving Sparse Matrix-Vector Multiplication on GPUs. IPDPS Workshops 2014: 933-940 - 2013
- [c6]Marco Maggioni, Tanya Y. Berger-Wolf
:
An Architecture-Aware Technique for Optimizing Sparse Matrix-Vector Multiplication on GPUs. ICCS 2013: 329-338 - [c5]Marco Maggioni, Tanya Y. Berger-Wolf
:
AdELL: An Adaptive Warp-Balancing ELL Format for Efficient Sparse Matrix-Vector Multiplication on GPUs. ICPP 2013: 11-20 - [c4]Marco Maggioni, Tanya Y. Berger-Wolf
, Jie Liang:
GPU-Based Steady-State Solution of the Chemical Master Equation. IPDPS Workshops 2013: 579-588 - 2012
- [c3]Daehan Won, Chun-An Chou, Wanpracha Art Chaovalitwongse, Tanya Y. Berger-Wolf
, Bhaskar DasGupta, Ashfaq A. Khokhar, Marco Maggioni, Saad I. Sheikh, Mary V. Ashley, Jason Palagi:
An integrated optimization framework for inferring two generation kinships and parental genotypes from microsatellite samples. BCB 2012: 392-399 - 2011
- [c2]Marco Maggioni, Marco D. Santambrogio
, Jie Liang:
GPU-accelerated Chemical Similarity Assessment for Large Scale Databases. ICCS 2011: 2007-2016
2000 – 2009
- 2009
- [c1]Marco D. Santambrogio
, Massimo Redaelli, Marco Maggioni:
Task graph scheduling for reconfigurable architectures driven by reconfigurations hiding and resources reuse. ACM Great Lakes Symposium on VLSI 2009: 21-26
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