22 citations · 55 across the 10 of their papers we have counts for
10 papers
NET4EXA: Pioneering the Future of Interconnects for Supercomputing and AI
Michele Martinelli, Roberto Ammendola, Andrea Biagioni +41
NET4EXA aims to develop a next-generation high-performance interconnect for HPC and AI systems, addressing the increasing demands of large-scale infrastructures, such as those requ…
Uno: A One-Stop Solution for Inter- and Intra-Datacenter Congestion Control and Reliable Connectivity
Tommaso Bonato, Sepehr Abdous, Abdul Kabbani +11
Cloud computing and AI workloads are driving unprecedented demand for efficient communication within and across datacenters. However, the coexistence of intra- and inter-datacenter…
Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality
Daniele De Sensi, Saverio Pasqualoni, Lorenzo Piarulli +5
Communication locality plays a key role in the performance of collective operations on large HPC systems, especially on oversubscribed networks where groups of nodes are fully conn…
PICO: Performance Insights for Collective Operations
Saverio Pasqualoni, Tommaso Bonato, Lorenzo Piarulli +3
Collective operations are cornerstones of both HPC applications and large-scale AI training and inference, yet benchmarking them in a systematic and reproducible way remains diffic…
Flowcut Switching: High-Performance Adaptive Routing with In-Order Delivery Guarantees
Tommaso Bonato, Daniele De Sensi, Salvatore Di Girolamo +4
Network latency severely impacts the performance of applications running on supercomputers. Adaptive routing algorithms route packets over different available paths to reduce laten…
Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects
Daniele De Sensi, Lorenzo Pichetti, Flavio Vella +11
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 networ…
REPS: Recycled Entropy Packet Spraying for Adaptive Load Balancing and Failure Mitigation
Tommaso Bonato, Abdul Kabbani, Ahmad Ghalayini +7
Next-generation datacenters require highly efficient network load balancing to manage the growing scale of artificial intelligence (AI) training and general datacenter traffic. How…
Near-Optimal Wafer-Scale Reduce
Piotr Luczynski, Lukas Gianinazzi, Patrick Iff +3
Efficient Reduce and AllReduce communication collectives are a critical cornerstone of high-performance computing (HPC) applications. We present the first systematic investigation…
Swing: Short-cutting Rings for Higher Bandwidth Allreduce
Daniele De Sensi, Tommaso Bonato, David Saam +1
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 dis…
A High-Performance Design, Implementation, Deployment, and Evaluation of The Slim Fly Network
Nils Blach, Maciej Besta, Daniele De Sensi +10
Novel low-diameter network topologies such as Slim Fly (SF) offer significant cost and power advantages over the established Fat Tree, Clos, or Dragonfly. To spearhead the adoption…