24 citations · 24 across the 5 of their papers we have counts for
6 papers
Stencil Computations on Cerebras Wafer-Scale Engine
Elia Belli, Daniele De Sensi
Stencil computations are a fundamental kernel in scientific computing, critical for simulations in domains such as fluid dynamics and climate modeling. However, these computations…
Stencil Computations on Tenstorrent Wormhole
Lorenzo Piarulli, Daniele De Sensi
As investment in AI-focused accelerators grows and their deployment in supercomputing facilities expands, understanding whether these architectures can efficiently support traditio…
Characterizing the Impact of Congestion in Modern HPC Interconnects
Lorenzo Piarulli, Marco Faltelli, Dirk Pleiter +7
High-performance computing (HPC) systems increasingly support both scalable AI training and large-scale simulation workloads. Both typically rely heavily on collective communicatio…
The Landscape of GPU-Centric Communication
Didem Unat, Ilyas Turimbetov, Mohammed Kefah Taha Issa +4
In recent years, GPUs have become the preferred accelerators for HPC and ML applications due to their parallelism and fast memory bandwidth. While GPUs boost computation, inter-GPU…
NeVerMore: Exploiting RDMA Mistakes in NVMe-oF Storage Applications
Konstantin Taranov, Benjamin Rothenberger, Daniele De Sensi +2
This paper presents a security analysis of the InfiniBand architecture, a prevalent RDMA standard, and NVMe-over-Fabrics (NVMe-oF), a prominent protocol for industrial disaggregate…
Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems
Demetrios A. M. Coutinho, Daniele De Sensi, Arthur Francisco Lorenzon +4
This work proposes a methodology to find performance and energy trade-offs for parallel applications running on Heterogeneous Multi-Processing systems with a single instruction-set…