9 citations · 19 across the 9 of their papers we have counts for
10 papers
Accelerating Sparse Linear Solvers in OpenFOAM using RISC-V Vector Extensions
Gabriele Ceccolini, Federico Ficarelli, Filippo Barbari +2
Computational Fluid Dynamics (CFD) relies heavily on the efficiency of linear solvers based on sparse linear algebra kernels. Widely used frameworks like OpenFOAM exploit paralleli…
Is RISC-V Ready for Massively Parallel Astrophysical Codes?
Jenny Lynn Almerol, Nitin Shukla, Federico Ficarelli +5
We present a performance and portability evaluation of three well-established astrophysical production codes, namely iPIC3D, PLUTO, and OpenGadget3, on a Sophgo SG2044 RISC-V proce…
Monte Cimone v3: Where RISC-V Stands in High-Performance Computing
Emanuele Venieri, Simone Manoni, Giacomo Madella +4
The Monte Cimone project provides a RISC-V testbed for High-Performacne Computing cluster. This paper presents Monte Cimone v3 (MCv3), the third iteration of the Monte Cimone RISC-…
Monte Cimone v2: Down the Road of RISC-V High-Performance Computers
Emanuele Venieri, Simone Manoni, Gabriele Ceccolini +6
Many RISC-V (RV) platforms and SoCs have been announced in recent years targeting the HPC sector, but only a few of them are commercially available and engineered to fit the HPC re…
A Multi-level Compiler Backend for Accelerated Micro-kernels Targeting RISC-V ISA Extensions
Alexandre Lopoukhine, Federico Ficarelli, Christos Vasiladiotis +6
High-performance micro-kernels must fully exploit today's diverse and specialized hardware to deliver peak performance to DNNs. While higher-level optimizations for DNNs are offere…
Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach
Gianluca Palermo, Gianmarco Accordi, Davide Gadioli +32
Today digital revolution is having a dramatic impact on the pharmaceutical industry and the entire healthcare system. The implementation of machine learning, extreme-scale computer…
GPU-optimized Approaches to Molecular Docking-based Virtual Screening in Drug Discovery: A Comparative Analysis
Emanuele Vitali, Federico Ficarelli, Mauro Bisson +4
COVID-19 has shown the importance of having a fast response against pandemics. Finding a novel drug is a very long and complex procedure, and it is possible to accelerate the preli…
Monte Cimone: Paving the Road for the First Generation of RISC-V High-Performance Computers
Andrea Bartolini, Federico Ficarelli, Emanuele Parisi +9
The new open and royalty-free RISC-V ISA is attracting interest across the whole computing continuum, from microcontrollers to supercomputers. High-performance RISC-V processors an…
EXSCALATE: An extreme-scale in-silico virtual screening platform to evaluate 1 trillion compounds in 60 hours on 81 PFLOPS supercomputers
Davide Gadioli, Emanuele Vitali, Federico Ficarelli +7
The social and economic impact of the COVID-19 pandemic demands the reduction of the time required to find a therapeutic cure. In the contest of urgent computing, we re-designed th…
The ANTAREX Domain Specific Language for High Performance Computing
Cristina Silvano, Giovanni Agosta, Andrea Bartolini +19
The ANTAREX project relies on a Domain Specific Language (DSL) based on Aspect Oriented Programming (AOP) concepts to allow applications to enforce extra functional properties such…