5 citations · 11 across the 6 of their papers we have counts for
6 papers
Efficient Parameter Tuning for a Structure-Based Virtual Screening HPC Application
Bruno Guindani, Davide Gadioli, Roberto Rocco +2
Virtual screening applications are highly parameterized to optimize the balance between quality and execution performance. While output quality is critical, the entire screening pr…
To Repair or Not to Repair: Assessing Fault Resilience in MPI Stencil Applications
Roberto Rocco, Elisabetta Boella, Daniele Gregori +1
With the increasing size of HPC computations, faults are becoming more and more relevant in the HPC field. The MPI standard does not define the application behaviour after a fault,…
A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach
Christian Pilato, Subhadeep Banik, Jakub Beranek +28
Modern big data workflows are characterized by computationally intensive kernels. The simulated results are often combined with knowledge extracted from AI models to ultimately sup…
Fault Awareness in the MPI 4.0 Session Model
Roberto Rocco, Gianluca Palermo, Daniele Gregori
The latest version of MPI introduces new functionalities like the Session model, but it still lacks fault management mechanisms. Past efforts produced tools and MPI standard extens…
Fault-Aware Non-Collective Communication Creation and Reparation in MPI
Roberto Rocco, Gianluca Palermo
The increasing size of HPC architectures makes the faults' presence a more and more frequent eventuality. This issue becomes especially relevant since MPI, the de-facto standard fo…
Legio: Fault Resiliency for Embarrassingly Parallel MPI Applications
Roberto Rocco, Davide Gadioli, Gianluca Palermo
Due to the increasing size of HPC machines, the fault presence is becoming an eventuality that applications must face. Natively, MPI provides no support for the execution past the…