activity
20172026
most citedPsPIN: A high-performance low-power architecture for flexible in-network compute

5 citations · 12 across the 5 of their papers we have counts for

collaborators

6 papers

cs.DC2026

NCCL EP: Towards a Unified Expert Parallel Communication API for NCCL

Amos Goldman, Nimrod Boker, Maayan Sheraizin +15

Mixture-of-Experts (MoE) architectures have become essential for scaling large language models, driving the development of specialized device-initiated communication libraries such…

cs.NI2023★ 3 cited

OSMOSIS: Enabling Multi-Tenancy in Datacenter SmartNICs

Mikhail Khalilov, Marcin Chrapek, Siyuan Shen +7

Multi-tenancy is essential for unleashing SmartNIC's potential in datacenters. Our systematic analysis in this work shows that existing on-path SmartNICs have resource multiplexing…

cs.NI2020★ 5 cited

PsPIN: A high-performance low-power architecture for flexible in-network compute

Salvatore Di Girolamo, Andreas Kurth, Alexandru Calotoiu +5

The capacity of offloading data and control tasks to the network is becoming increasingly important, especially if we consider the faster growth of network speed when compared to C…

cs.DC2020★ 4 cited

Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging

Shigang Li, Tal Ben-Nun, Giorgi Nadiradze +4

Deep learning at scale is dominated by communication time. Distributing samples across nodes usually yields the best performance, but poses scaling challenges due to global informa…

cs.DC2019

SimFS: A Simulation Data Virtualizing File System Interface

Salvatore Di Girolamo, Pirmin Schmid, Thomas Schulthess +1

Nowadays simulations can produce petabytes of data to be stored in parallel filesystems or large-scale databases. This data is accessed over the course of decades often by thousand…

cs.DC2017

sPIN: High-performance streaming Processing in the Network

Torsten Hoefler, Salvatore Di Girolamo, Konstantin Taranov +2

Optimizing communication performance is imperative for large-scale computing because communication overheads limit the strong scalability of parallel applications. Today's network…