109 citations · 126 across the 14 of their papers we have counts for
17 papers
Understanding the oversubscription behaviour of DragonFly+ networks
Vlad-Adrian Ulmeanu, Costin Raiciu, Iulian-Ilie Drăcea
The Max-Host Dragonfly+ topology's original paper proves that there is a 2:1 worst-case oversubscription ratio in expectation for the permutation traffic pattern. We show that the…
mKernel: Fast Multi-GPU, Multi-Node Fused Kernels
Ziming Mao, Yihan Zhang, Shawn Wei Chew +5
Communication has become a bottleneck in distributed training and inference of large models. Overlapping communication with computation at the granularity of kernels, on separate s…
SlimTCP: It's fast, but not because it's slim
Mihai Drosi Caju, Costin Raiciu
In this paper, the authors explore the possibility of improving the performance of TCP/IP stacks in the context of data-center networks. This paper will focus particularly on the c…
The Multipath Reliable Connection (MRC) Transport
Rip Sohan, Eric Spada, Eric Davis +36
MRC is an open, production-grade transport designed for large-scale AI/ML training over best-effort Ethernet. It extends RoCEv2 with explicit, composable primitives for per-packet…
Resilient AI Supercomputer Networking using MRC and SRv6
Joao Araujo, Alex Chow, Mark Handley +47
Tail latency dominates the performance of synchronous pretraining jobs when running at very large scales. We describe a three-pronged approach: (1) a new RDMA-based transport proto…
UCCL-EP: Portable Expert-Parallel Communication
Ziming Mao, Yihan Zhang, Chihan Cui +9
Mixture-of-Experts (MoE) workloads rely on expert parallelism (EP) to achieve high GPU efficiency. State-of-the-art EP communication systems such as DeepEP demonstrate strong perfo…
Ultra Ethernet's Design Principles and Architectural Innovations
Torsten Hoefler, Karen Schramm, Eric Spada +13
The recently released Ultra Ethernet (UE) 1.0 specification defines a transformative High-Performance Ethernet standard for future Artificial Intelligence (AI) and High-Performance…
An Extensible Software Transport Layer for GPU Networking
Yang Zhou, Zhongjie Chen, Ziming Mao +11
Fast-evolving machine learning (ML) workloads have increasing requirements for networking. However, host network transport on RDMA NICs is hard to evolve, causing problems for ML w…
LLMic: Romanian Foundation Language Model
Vlad-Andrei Bădoiu, Mihai-Valentin Dumitru, Alexandru M. Gherghescu +2
Recent advances in Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks with commercial models leading the way. While open models usually ope…
FuLG: 150B Romanian Corpus for Language Model Pretraining
Vlad-Andrei Bădoiu, Mihai-Valentin Dumitru, Alexandru M. Gherghescu +2
Research in the field of language models is rapidly evolving, with many open models being released to the public. Openly available pretraining corpora usually focus on only a handf…
I've Got 99 Problems But FLOPS Ain't One
Alexandru M. Gherghescu, Vlad-Andrei Bădoiu, Alexandru Agache +4
Hyperscalers dominate the landscape of large network deployments, yet they rarely share data or insights about the challenges they face. In light of this supremacy, what problems c…
Prose-to-P4: Leveraging High Level Languages
Mihai-Valentin Dumitru, Vlad-Andrei Bădoiu, Costin Raiciu
Languages such as P4 and NPL have enabled a wide and diverse range of networking applications that take advantage of programmable dataplanes. However, software development in these…
SMaRTT: Sender-based Marked Rapidly-adapting Trimmed & Timed Transport
Tommaso Bonato, Abdul Kabbani, Ahmad Ghalayini +10
With the rapid growth of artificial intelligence (AI) workloads in datacenters, the Ultra Ethernet Consortium (UEC) has defined a new high-performance transport layer to deliver th…
Loupe: Driving the Development of OS Compatibility Layers
Hugo Lefeuvre, Gaulthier Gain, Vlad-Andrei Bădoiu +5
Supporting mainstream applications is fundamental for a new OS to have impact. It is generally achieved by developing a layer of compatibility allowing applications developed for a…
FlexOS: Towards Flexible OS Isolation
Hugo Lefeuvre, Vlad-Andrei Bădoiu, Alexander Jung +5
At design time, modern operating systems are locked in a specific safety and isolation strategy that mixes one or more hardware/software protection mechanisms (e.g. user/kernel sep…
Unikraft: Fast, Specialized Unikernels the Easy Way
Simon Kuenzer, Vlad-Andrei Bădoiu, Hugo Lefeuvre +12
Unikernels are famous for providing excellent performance in terms of boot times, throughput and memory consumption, to name a few metrics. However, they are infamous for making it…
SymNet: scalable symbolic execution for modern networks
Radu Stoenescu, Matei Popovici, Lorina Negreanu +1
We present SymNet, a network static analysis tool based on symbolic execution. SymNet quickly analyzes networks by injecting symbolic packets and tracing their path through the net…