449 citations · 508 across the 13 of their papers we have counts for
7 papers · 1 filter
Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with SW Sequence Alignment
Manuel Costanzo, Enzo Rucci, Carlos García-Sánchez +2
The high-performance computing (HPC) landscape is undergoing rapid transformation, with an increasing emphasis on energy-efficient and heterogeneous computing environments. This co…
Migrating CUDA to oneAPI: A Smith-Waterman Case Study
Manuel Costanzo, Enzo Rucci, Carlos Garcia Sanchez +2
To face the programming challenges related to heterogeneous computing, Intel recently introduced oneAPI, a new programming environment that allows code developed in Data Parallel C…
Early Experiences Migrating CUDA codes to oneAPI
Manuel Costanzo, Enzo Rucci, Carlos García Sanchez +1
The heterogeneous computing paradigm represents a real programming challenge due to the proliferation of devices with different hardware characteristics. Recently Intel introduced…
Comparison of HPC Architectures for Computing All-Pairs Shortest Paths. Intel Xeon Phi KNL vs NVIDIA Pascal
Manuel Costanzo, Enzo Rucci, Ulises Costi +2
Today, one of the main challenges for high-performance computing systems is to improve their performance by keeping energy consumption at acceptable levels. In this context, a cons…
Soft Errors Detection and Automatic Recovery based on Replication combined with different Levels of Checkpointing
Diego Montezanti, Enzo Rucci, Armando De Giusti +3
Handling faults is a growing concern in HPC. In future exascale systems, it is projected that silent undetected errors will occur several times a day, increasing the occurrence of…
Blocked All-Pairs Shortest Paths Algorithm on Intel Xeon Phi KNL Processor: A Case Study
Enzo Rucci, Armando De Giusti, Marcelo Naiouf
Manycores are consolidating in HPC community as a way of improving performance while keeping power efficiency. Knights Landing is the recently released second generation of Intel X…
First Experiences Optimizing Smith-Waterman on Intel's Knights Landing Processor
Enzo Rucci, Carlos Garcia, Guillermo Botella +3
The well-known Smith-Waterman (SW) algorithm is the most commonly used method for local sequence alignments. However, SW is very computationally demanding for large protein databas…