Zobrazeno 1 - 10
of 4 889
pro vyhledávání: '"A. Sensi"'
Autor:
Unat, Didem, Turimbetov, Ilyas, Issa, Mohammed Kefah Taha, Sağbili, Doğan, Vella, Flavio, De Sensi, Daniele, Ismayilov, Ismayil
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 communication can create scalability bottlenecks, especially as the n
Externí odkaz:
http://arxiv.org/abs/2409.09874
Autor:
De Sensi, Daniele, Pichetti, Lorenzo, Vella, Flavio, De Matteis, Tiziano, Ren, Zebin, Fusco, Luigi, Turisini, Matteo, Cesarini, Daniele, Lust, Kurt, Trivedi, Animesh, Roweth, Duncan, Spiga, Filippo, Di Girolamo, Salvatore, Hoefler, Torsten
Publikováno v:
Published in Proceedings of The International Conference for High Performance Computing Networking, Storage, and Analysis (SC '24) (2024)
Multi-GPU nodes are increasingly common in the rapidly evolving landscape of exascale supercomputers. On these systems, GPUs on the same node are connected through dedicated networks, with bandwidths up to a few terabits per second. However, gauging
Externí odkaz:
http://arxiv.org/abs/2408.14090
Autor:
Bonato, Tommaso, Kabbani, Abdul, Ghalayini, Ahmad, Dohadwala, Mohammad, Papamichael, Michael, De Sensi, Daniele, Hoefler, Torsten
Most datacenter transport protocols traditionally depend on in-order packet delivery, a legacy design choice that prioritizes simplicity. However, technological advancements, such as RDMA, now enable the relaxation of this requirement, allowing for m
Externí odkaz:
http://arxiv.org/abs/2407.21625
We propose a generalization of the adaptive N-Intertwined Mean-Field Approximation (aNIMFA) model studied in \emph{Achterberg and Sensi} \cite{achterbergsensi2022adaptive} to a heterogeneous network of communities. In particular, the multigroup aNIMF
Externí odkaz:
http://arxiv.org/abs/2407.17639
We propose a novel multi-scale modeling framework for infectious disease spreading, borrowing ideas and modeling tools from the so-called Refractory Density (RD) approach. We introduce a microscopic model that describes the probability of infection f
Externí odkaz:
http://arxiv.org/abs/2407.02396
Autor:
Luczynski, Piotr, Gianinazzi, Lukas, Iff, Patrick, Wilson, Leighton, De Sensi, Daniele, Hoefler, Torsten
Publikováno v:
HPDC '24: Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing (2024) 334 - 347
Efficient Reduce and AllReduce communication collectives are a critical cornerstone of high-performance computing (HPC) applications. We present the first systematic investigation of Reduce and AllReduce on the Cerebras Wafer-Scale Engine (WSE). This
Externí odkaz:
http://arxiv.org/abs/2404.15888
Autor:
Bonato, Tommaso, Kabbani, Abdul, De Sensi, Daniele, Pan, Rong, Le, Yanfang, Raiciu, Costin, Handley, Mark, Schneider, Timo, Blach, Nils, Ghalayini, Ahmad, Alves, Daniel, Papamichael, Michael, Caulfield, Adrian, Hoefler, Torsten
The increasing demand of machine learning (ML) workloads in datacenters places significant stress on current congestion control (CC) algorithms, many of which struggle to maintain performance at scale. These workloads generate bursty, synchronized tr
Externí odkaz:
http://arxiv.org/abs/2404.01630
Publikováno v:
NSDI 2024
The allreduce collective operation accounts for a significant fraction of the runtime of workloads running on distributed systems. One factor determining its performance is the distance between communicating nodes, especially on networks like torus,
Externí odkaz:
http://arxiv.org/abs/2401.09356
Autor:
Eigentler, Lukas, Sensi, Mattia
Publikováno v:
Journal of Theoretical Biology, Volume 595, 7 December 2024, 111945
Periodic travelling waves (PTW) are a common solution type of partial differential equations. Such models exhibit multistability of PTWs, typically visualised through the Busse balloon, and parameter changes typically lead to a cascade of wavelength
Externí odkaz:
http://arxiv.org/abs/2311.14717
Publikováno v:
Chaos, Solitons and Fractals, Volume 185, August 2024, 115104
We propose a novel slow-fast SIRS compartmental model with demography, by coupling a slow disease spreading model and a fast information and misinformation spreading model. Beside the classes of susceptible, infected and recovered individuals of a co
Externí odkaz:
http://arxiv.org/abs/2311.06351