A fine-grained GPU parallelization approach that adapts to workload characteristics by assigning set intersection computations within a graph to the most suitable parallelization strategies, and predicts the optimal parallelization approach between this fine-grained and other state-of-the-art GPU kernels with 88% accur...
Atharva Gondhalekar, Wu-Chun Feng· Proceedings of the Internati...· 0 citations
Overall, when evaluating both Chapel and MPI+X implementations of partitioned Jaccard similarity on up to 16 A100-80GB GPUs across four nodes, Chapel achieves comparable performance to MPI+X while also delivering significantly better programmer productivity and agility.
Paul Sathre, Wu-Chun Feng· Proceedings of the Internati...· 0 citations
The Dual-Stage Spiking Swin Transformer (D2S-SwinT), a neuromorphic architecture that integrates the feature representation capability of Swin Transformers with the event-driven efficiency of brain-inspired computation, is proposed, a neuromorphic architecture that integrates the feature representation capability of Sw...
Hong-Jiang Deng, Wen-Hua Hu, Hao-Hui Peng et al.· Proceedings of the Internati...· 0 citations
Vadar adopts a non-intrusive dynamic interception mechanism to monitor parallel applications with state transition detection to cope with workload change at runtime, and provides comprehensive monitoring for both regular and irregular computational workloads.
Yi-Fan Jia, Shuang Niu, Yu-Hang Hu et al.· Proceedings of the Internati...· 0 citations
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TFS is presented, a tile-aware fusion framework that eliminates this intermediate materialization by fusing SpMM and GeMM directly inside the tile registers of Intel’s Advanced Matrix Extensions (AMX).
Xiao Yan, Haodong Bian, Xiao-Ying Wang et al.· Proceedings of the Internati...· 0 citations
Passenger flow in rapidly developing high-speed railway networks varies with temporal fluctuations, spatial interactions among stations, and regional travel dependencies. Accurate forecasts support the management of station operations, resource allocation, and service optimization, yet methods that impose fixed spatial...
The rapid evolution of 6G networks is expected to transform immersive media broadcasting by enabling ultra-low-latency communication, intelligent edge computing, and high-capacity transmission for extended reality, holographic content, and interactive multimedia. However, conventional edge resource management remains l...
Lunatari Sanbella, Chandra Lukita, Anandha Fitriani et al.· Bridging of Emerging AI and...· 0 citations
The reliance on single-point metric estimates (such as a solitary mAP score) to benchmark object detection models frequently masks underlying sample variances, leading to overconfident deployment decisions. This paper presents an automated post-training validation pipeline for YOLO models designed to enforce statistica...
William Steve Rodriguez Villamizar· Zenodo (CERN European Organi...· 0 citations
LUCYD-PISCO training-set sources (v5) Source data needed to regenerate the synthetic training set used to retrain the LUCYD deconvolution network for PISCO (Plankton In Situ Camera Observation) extended-depth-of-field (TAG-lens) images. Code: https://git.geomar.de/team-optics/plankton/underwater-lucyd (sim/gen_trainset...
Veit Dausmann· Zenodo (CERN European Organi...· 0 citations
Mirror, Mirror, in XR: Motion-Capture Dataset, Processing Pipeline, and Analysis Code Description This deposit contains the full data-processing and analysis pipeline underlying a within-subjects VR study of imposed social mirroring. Twelve dyads (24 participants) held structured conversations under three counterbalanc...
Anonymous· Zenodo (CERN European Organi...· 0 citations
Changes in v1.0.7. Two faults in the cavity figure, both found on the page. The near lower corner of the box at the far end was missing, and with it about a sixth of the front lower edge. The two panels of that figure are each wider and taller than the drawing they hold, which is what lets a long flat cavity and a cone...
Tanvir Mahmud Mahim, M. Mosaddequr Rahman, Abu S. M. Mohsin· Zenodo (CERN European Organi...· 0 citations
Abstract The Climate and Economic Justice Screening Tool (CEJST) was developed by the U.S. federal government in 2021 to identify and support marginalized communities disproportionately impacted by climate change. This tool identifies disadvantaged communities based on the presence of low-income residents and one of ei...
Jayajit Chakraborty, Haylee Oyler, Kat Le et al.· Environmental Research Clima...· 0 citations
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 28, 2026
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
For decades, a fundamental question about the difficulty of computing in high-dimensional spaces has resisted proof. New research resolves this question, removing a major theoretical obstacle to understanding the efficiency of randomized algorithms used across science and computing. The Kannan–Lovász–Simonovits (KLS) conjecture was proposed in 1995. It asks whether, for a broad class of high-dimensional […] The post Solving a 31-year-old grand challenge in mathematics – the KLS conjecture appear…
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
Microsoft Research Blog· microsoft.comOct 15, 2026
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.
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