Data-parallel (DP) load balancing has emerged as a first-order bottleneck in large-scale LLM serving. When a model is sharded across devices via tensor parallel...
Peak breaking Matrix Multiplication is a promising technique to improve the performance of DL, especially in LLM training and inference. We present FalconGEMM, ...
Personal access tokens PATs authenticate most of the automation that runs in GitLab. When a token is issued with a broad scope like api or read_api, it extends...
With GitLab 18.11, Gitaly on Kubernetes is now generally available. Teams that previously ran most GitLab components in Kubernetes while keeping Gitaly on virtu...
Decentralized finance (DeFi) protocols now intermediate over USD 100 billion in value, including regulated stablecoins and tokenized assets deployed as collater...
SmartNIC Data Processing Units (DPUs) offer a promising solution for saving high-end CPU resources by offloading tasks to programmable cores near the network in...
In this paper, we introduce a delay-aware largesmall model collaboration scheme for low Earth orbit (LEO) satellite networks, which can balance the computationa...
Performance profiles of GPU kernels generated by tools such as Nsight Compute are rich in detail but are often challenging to interpret. To achieve the best per...
Computational fluid dynamics and fluid-structure interaction simulations involving moving and deforming bodies is extremely hard. In this work, we present a gra...
Physical neural networks (PNNs) embed computation directly in material dynamics, including molecular, chemical, biological, photonic, memristive, and mechanical...
Sessions is one of the major features introduced in the MPI-4 standard. It offers an alternative to the traditional world communicator model by allowing applica...
Motivated by the growing proliferation of federated learning (FL) in edge environments, we present the first systematic characterization of transport-layer brea...
Mar 31, 2026 Docker Sandboxes: Run Agents in YOLO Mode, Safely > Agents have crossed a threshold. Over a quarter of all production code is now AI‑authored, and...
It has been demonstrated that specialised architectures, such as FPGAs and AMD's AI Engines (AIEs), have the potential to deliver energy and performance advanta...
As exascale systems reach unprecedented concurrency, traditional performance analysis tools struggle with the overhead of massive-scale telemetry. We present an...
We study the possibility of designing N^{o(1)}-round protocols for problems of substantially super-linear polynomial-time (sequential) complexity in the model o...
!Cover image for ⚖️Case File 1.1: Pre-Meditated Complexityhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto/https%3A%...
Mozilla recently published a fascinating piece titled “The zero-days are numbered,” focusing on their collaboration with Anthropic to use AI models to find vuln...
Introduction As AI agents become more capable and can help individuals work faster, the next milestone is surfacing: how do you design AI for optimal team coll...
From detection to analysis to remediation, AI is reshaping every layer of IT operations. It can find the problem, write the fix, and run it. But the same AI acc...
Introduction Model Context Protocol MCP has moved fast, and thousands of MCP servers now exist across the ecosystem. What started as an open source project fro...
Introduction Humanoid robots are having a moment. Every major tech conference features new demos—robots walking, grasping, responding to voice commands, and na...
As organizations embrace agentic AI for cluster operations, the central challenge shifts from whether or not AI can control a cluster to whether it can do it sa...
