:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Namashivayam, Naveen
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Machine Learning C.2.0; C.4; C.5.1; D.1.3
Online Access:	https://arxiv.org/abs/2503.24230
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Application-Driven Exascale: The JUPITER Benchmark Suite
by: Herten, Andreas, et al.
Published: (2024)

Aurora: Architecting Argonne's First Exascale Supercomputer for Accelerated Scientific Discovery
by: Allcock, William E., et al.
Published: (2025)

StreamFlow: cross-breeding cloud with HPC
by: Colonnelli, Iacopo, et al.
Published: (2020)

Automated Dynamic AI Inference Scaling on HPC-Infrastructure: Integrating Kubernetes, Slurm and vLLM
by: Trappen, Tim, et al.
Published: (2025)

PoCL-R: An Open Standard Based Offloading Layer for Heterogeneous Multi-Access Edge Computing with Server Side Scalability
by: Solanti, Jan, et al.
Published: (2023)

Scalable Concurrent Queues for GPU
by: Shetty, Pratheek Prakash, et al.
Published: (2026)

Exploring the Design Space for Message-Driven Systems for Dynamic Graph Processing using CCA
by: Chandio, Bibrak Qamar, et al.
Published: (2024)

Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging
by: Li, Shigang, et al.
Published: (2020)

NM-SpMM: Accelerating Matrix Multiplication Using N:M Sparsity with GPGPU
by: Ma, Cong, et al.
Published: (2025)

Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects
by: De Sensi, Daniele, et al.
Published: (2024)

FLeNS: Federated Learning with Enhanced Nesterov-Newton Sketch
by: Gupta, Sunny, et al.
Published: (2024)

Bine Trees: Enhancing Collective Operations by Optimizing Communication Locality
by: De Sensi, Daniele, et al.
Published: (2025)

Scheduler-Driven Job Atomization
by: Konopa, Michal, et al.
Published: (2025)

JASDA: Introducing Job-Aware Scheduling in Scheduler-Driven Job Atomization
by: Konopa, Michal, et al.
Published: (2025)

Hybrid Quantum-HPC Middleware Systems for Adaptive Resource, Workload and Task Management
by: Mantha, Pradeep, et al.
Published: (2026)

Speed, power and cost implications for GPU acceleration of Computational Fluid Dynamics on HPC systems
by: Cooper-Baldock, Zachary, et al.
Published: (2024)

Stream parallel skeleton optimization
by: Aldinucci, Marco, et al.
Published: (2024)

Toward a Universal GPU Instruction Set Architecture: A Cross-Vendor Analysis of Hardware-Invariant Computational Primitives in Parallel Processors
by: Abraham, Ojima, et al.
Published: (2026)

SpaDA: A Spatial Dataflow Architecture Programming Language
by: Gianinazzi, Lukas, et al.
Published: (2025)

RACS-SADL: Robust and Understandable Randomized Consensus in the Cloud
by: Tennage, Pasindu, et al.
Published: (2024)

Baxos: Backing off for Robust and Efficient Consensus
by: Tennage, Pasindu, et al.
Published: (2022)

Accelerating Matrix Multiplication: A Performance Comparison Between Multi-Core CPU and GPU
by: Ansari, Mufakir Qamar, et al.
Published: (2025)

Guess-Verify-Refine: Data-Aware Top-K for Sparse-Attention Decoding on Blackwell via Temporal Correlation
by: Cheng, Long, et al.
Published: (2026)

Using matrices in post-processing phase of CFD simulations
by: Argentini, Gianluca
Published: (2004)

Modular GPU Programming with Typed Perspectives
by: Bansal, Manya, et al.
Published: (2025)

Construction of a Byzantine Linearizable SWMR Atomic Register from SWSR Atomic Registers
by: Kshemkalyani, Ajay D., et al.
Published: (2024)

Rhizomes and Diffusions for Processing Highly Skewed Graphs on Fine-Grain Message-Driven Systems
by: Chandio, Bibrak Qamar, et al.
Published: (2024)

Relaxation for Efficient Asynchronous Queues
by: Baldwin, Samuel, et al.
Published: (2025)

PIM-STM: Software Transactional Memory for Processing-In-Memory Systems
by: Lopes, André, et al.
Published: (2024)

Splitwise: Efficient generative LLM inference using phase splitting
by: Patel, Pratyush, et al.
Published: (2023)

Reducing the GPU Memory Bottleneck with Lossless Compression for ML -- Extended
by: Kamath, Aditya K, et al.
Published: (2026)

Feature-Aware Task-to-Core Allocation in Embedded Multi-core Platforms via Statistical Learning
by: Pivezhandi, Mohammad, et al.
Published: (2025)

LLM Agents for Interactive Workflow Provenance: Reference Architecture and Evaluation Methodology
by: Souza, Renan, et al.
Published: (2025)

Compute Can't Handle the Truth: Why Communication Tax Prioritizes Memory and Interconnects in Modern AI Infrastructure
by: Jung, Myoungsoo
Published: (2025)

Fancy Some Chips for Your TeaStore? Modeling the Control of an Adaptable Discrete System
by: Gallone, Anna, et al.
Published: (2025)

GPUnion: Autonomous GPU Sharing on Campus
by: Li, Yufang, et al.
Published: (2025)

MAS-Attention: Memory-Aware Stream Processing for Attention Acceleration on Resource-Constrained Edge Devices
by: Shakerdargah, Mohammadali, et al.
Published: (2024)

Optimizing edge AI models on HPC systems with the edge in the loop
by: Aach, Marcel, et al.
Published: (2025)

LAMMPS-KOKKOS: Performance Portable Molecular Dynamics Across Exascale Architectures
by: Johansson, Anders, et al.
Published: (2025)

ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates
by: Lan, Tingfeng, et al.
Published: (2025)