After pre-announcing Nemotron 3 Ultra, a 550-billion-parameter open-weight mixture-of-experts model, at Computex, Nvidia on Thursday released the model on platf...

Allstacks this week added a shared workspace capability to its software engineering intelligence platform that makes it simpler for product and software enginee...

SmartBear this week extended its ability to apply artificial intelligence to application testing with the addition of a computer vision capabilityhttps://smartb...

2026-06-04 7 min read !https://cf-assets.www.cloudflare.com/zkvhlag99gkb/4EEGE4niWUjPwG5iCAFiuQ/6e63dca6bb8a0cf26d0f677727e3c356/BLOG-VOID_1.png VoidZero, the c...

When porting high-performance computing (HPC) code from CPU to GPU, CPU-oriented optimizations may obstruct LLM-based CUDA translation. We design and evaluate a...

NVSHMEM is NVIDIA's OpenSHMEM-based PGAS communication library for GPU clusters, enabling GPU-initiated, one-sided communication through symmetric memory. Despi...

With the rapid growth of interactive applications in large language model (LLM) online services, maintaining high system throughput while ensuring user-perceive...

This paper provides and analyzes a dataset detailing the characteristics and execution data of all jobs submitted to the IN2P3 Computing Center (Villeurbanne, F...

Identity and access management patterns have entered a new phase with the rapid growth of agentic AI adoption. Traditional identity and access management IAM mo...

Decentralized Federated Learning (FL) removes reliance on centralized coordinators but remains vulnerable to model poisoning, unreliable validation, and high va...

Tackling complex coding tasks often requires autonomous agents and iterative repair pipelines. These increasingly rely on large amounts of test-time computation...

Bitcoin's block reward is scheduled to decline to zero, raising concerns about whether the network can remain secure once miners rely solely on transaction fees...

Achieving peak GPU performance remains a significant challenge as the system throughput is constrained by host-device synchronization delays and kernel scheduli...

Modern GPUs have Tensor Cores (TCs) capable of extremely high-throughput matrix operations, yet graph algorithms remain difficult to accelerate because of their...

In this paper, we consider the problem of locally certifying that the size of a network is even, or more generally, congruent to some fixed number. The parity p...

Pearl, a Layer-1 blockchain with high-profile AI industry endorsements, markets its Proof-of-Useful-Work (PoUW) protocol as simultaneously securing the network ...

Directed Acyclic Graph (DAG) based BFT protocols have demonstrated the capability to achieve significantly high throughput in practice. Recent advancements focu...

We study rectangular matrix multiplication in the low-bandwidth model of distributed computing. There are n computers; initially the input matrices are distribu...

Modern AI serving increasingly relies on NPUs for conventional inference and large language model serving. However, current NPU deployments commonly expose phys...

LZ77-based codecs exhibit a fundamental sequential bottleneck in decoding: each back-reference depends on previously decompressed data, preventing multi-core sc...

The complexity of biomolecular simulations has substantially increased the demand for High-Performance Computing (HPC) infrastructures, particularly in molecula...

The edge-cloud paradigm improves service delivery by orchestrating resources across edge nodes and cloud data centres. These environments consist of heterogeneo...

Timed-Arc Petri net (TAPN) is a timed extension of the classical Petri net model where tokens have their age and input arcs are associated with time intervals r...

Deployers of online LLM services usually seek to maximize cluster-wide performance given a fixed number of GPUs. Tensor parallelism (TP) is necessary to fit mod...

Exact tensor network contraction underpins quantum circuit simulation, quantum error correction, combinatorial optimization, and many-body dynamics. The dominan...

Hospitals run more machine learning on GPUs while the carbon footprint of grid electricity rises and falls through the day. Using a computer simulation, we comp...

Distributed applications increasingly support local-first collaboration over shared data, allowing multiple users to perform updates concurrently without global...

dockervis – A Minimal Docker Dashboard I love lazydocker. Honestly, Jesse Duffield built something special — it’s the first thing I install on a new machine. B...

How Hard Can It Be to Build a CI/CD System? That question stuck with me long enough that I actually started building one. Not because someone asked me to. Not...

Forewords & Praise When I decided to self‑publish Docker and Kubernetes Security in early 2025, I never imagined the incredible support from the community that...

We study the aggregation problem in synchronous multi-hop radio networks with O(log n)-bit messages and no collision detection. Each node initially holds a valu...

This paper investigates scheduling strategies for wireless sensor-actuator networks (WSANs) in Industry 4.0 scenarios. In particular, we address the problem of ...

This work introduces a self-optimizing virtual processor (VP) for numerical array programs that shifts parallelization from a manual developer task to a coopera...

We present RaFI, a CUDA and MPI based software framework that simplifies the task of building GPU-enabled data-parallel software where rays or similar work item...

Why SCIM Matters for Vault Enterprises are converging on identity‑centric security as the foundation of their platform strategy. Consistently managing identiti...

We present and show how to implement a non-trivial all-to-all communication algorithm for arbitrary d-dimensional tori effectively in MPI. Given a factorization...

In recent years, HPC systems and CPU architectures as their central components, have become increasingly complex, making application development and optimizatio...

Sparse tensors are the most used representation of sparse multidimensional data. Operations that decompose them, selecting their most important features while r...

Maximal Independent Set (MIS) in a graph is a fundamental problem with applications in resource allocation, scheduling, and network optimization. Although graph...

Modern logistics systems tend to generate continuous streams of data from sources such as GPS, IoT sensors, and logistics management systems. The aggregation, p...

The trend of increasing cluster sizes of supercomputers leads to a growing susceptibility to Silent Data Corruption (SDC) that can invalidate program results. A...

Introducción El túnel VPN está UP. El attachment del TGW existe. El BGP está establecido. Y el ping no llega. Si alguna vez pasaste más de 30 minutos en ese esc...

Editor’s Note The following is an article written for and published in DZone’s 2026 Trend Report, Platform Engineering and DevOps: How Internal Platforms, Deve...

May 12, 2026 Docker AI Governance: Unlock Agent Autonomy, Safely Introducing Docker AI Governance: centralized control over how agents execute, what they can re...

Asynchronous iterative methods tolerate straggling processors by allowing workers to proceed with stale data, but at a cost: the iterates become inconsistent, p...

State-of-the-art multiple sequence alignment (MSA) algorithms are based on progressive approaches that rely on pairwise sequence alignment (PSA) to generate gui...

Multi-constraint hypergraph partitioning is a generalization of balanced partitioning, where the vertex set of a hypergraph is partitioned such that the inter-b...

The problem KEDA is built with CGO_ENABLED=0. The NVIDIA Management Library NVML—the standard way to read GPU metrics—requires CGO, so you can’t just add a GPU...