7 citations · 9 across the 9 of their papers we have counts for
9 papers
Portable Acceleration of Learning With Errors KEMs for Post-Quantum Cryptography
Tiziana Liberati, Nitin Shukla, Simone Rizzo +5
The transition to post-quantum cryptography (PQC) is driving demand for implementations that can meet the computational requirements of real-world applications. Among the proposed…
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…
On the Limits of Performance Portability in Directive-Based GPU Programming
Alessandro Romeo, Nitin Shukla, Stefano Truzzi +2
The transition of scientific applications to GPU-accelerated exascale systems is constrained by trade-offs between performance, portability, and productivity. This work evaluates t…
GPU Acceleration of Learning With Errors KEMs Using OpenACC for Post-Quantum Cryptography
Tiziana Liberati, Nitin Shukla, Matteo Barbieri +5
Shor's algorithm proved that asymmetric cryptographic protocols based on the integer factorization and discrete logarithm problems are no longer safe in a world with large-scale qu…
Accelerating the Particle-In-Cell code ECsim with OpenACC
Elisabetta Boella, Nitin Shukla, Filippo Spiga +3
The Particle-In-Cell (PIC) method is a computational technique widely used in plasma physics to model plasmas at the kinetic level. In this work, we present our effort to prepare t…
The PLUTO Code on GPUs: Offloading Lagrangian Particle Methods
Alessio Suriano, Stefano Truzzi, Agnese Costa +5
The Lagrangian Particles (LP) module of the PLUTO code offers a powerful simulation tool to predict the non-thermal emission produced by shock accelerated particles in large-scale…
EuroHPC SPACE CoE: Redesigning Scalable Parallel Astrophysical Codes for Exascale
Nitin Shukla, Alessandro Romeo, Caterina Caravita +36
High Performance Computing (HPC) based simulations are crucial in Astrophysics and Cosmology (A&C), helping scientists investigate and understand complex astrophysical phenomena. T…
The PLUTO Code on GPUs: A First Look at Eulerian MHD Methods
Marco Rossazza, Andrea Mignone, Matteo Bugli +7
We present preliminary performance results of gPLUTO, the new GPU-optimized implementation of the PLUTO code for computational plasma astrophysics. Like its predecessor, gPLUTO emp…
Towards Exascale Computing for Astrophysical Simulation Leveraging the Leonardo EuroHPC System
Nitin Shukla, Alessandro Romeo, Caterina Caravita +16
Developing and redesigning astrophysical, cosmological, and space plasma numerical codes for existing and next-generation accelerators is critical for enabling large-scale simulati…