Cover Image

DuaLip-GPU Technical Report

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dexter, Gregory, Rahmattalabi, Aida, Garg, Sanjana, Song, Qinquan, Tu, Ruby, Gao, Yuan, Zhang, Yi, Wang, Zhipeng, Mazumder, Rahul
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Heat: Satellite's meat is GPU's poison
by: Yuan, Zhehu, et al.
Published: (2024)

HC-SpMM: Accelerating Sparse Matrix-Matrix Multiplication for Graphs with Hybrid GPU Cores
by: Li, Zhonggen, et al.
Published: (2024)

INTELLECT-1 Technical Report
by: Jaghouar, Sami, et al.
Published: (2024)

Accelerating Biclique Counting on GPU
by: Qiu, Linshan, et al.
Published: (2024)

Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration
by: Wang, Tianyu, et al.
Published: (2024)

Prime Collective Communications Library -- Technical Report
by: Keiblinger, Michael, et al.
Published: (2025)

A Study of Performance Programming of CPU, GPU accelerated Computers and SIMD Architecture
by: Yi, Xinyao
Published: (2024)

Compositional Design, Implementation, and Verification of Swarms (Technical Report)
by: Furbach, Florian, et al.
Published: (2026)

A Unified CPU-GPU Protocol for GNN Training
by: Lin, Yi-Chien, et al.
Published: (2024)

GPU-Based Parallel Computing Methods for Medical Photoacoustic Image Reconstruction
by: Yi, Xinyao, et al.
Published: (2024)

Understanding the Landscape of Ampere GPU Memory Errors
by: Zhu, Zhu, et al.
Published: (2025)

Fantasy: Efficient Large-scale Vector Search on GPU Clusters with GPUDirect Async
by: Liu, Yi, et al.
Published: (2025)

GPU-Accelerated Batch-Dynamic Subgraph Matching
by: Qiu, Linshan, et al.
Published: (2024)

PICO: Accelerating All k-Core Paradigms on GPU
by: Zhao, Chen, et al.
Published: (2024)

Efficient Graph Embedding at Scale: Optimizing CPU-GPU-SSD Integration
by: Li, Zhonggen, et al.
Published: (2025)

Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems
by: Zhang, Chen, et al.
Published: (2026)

FaaSTube: Optimizing GPU-oriented Data Transfer for Serverless Computing
by: Wu, Hao, et al.
Published: (2024)

DCGen 1.1 Technical Report: Generating Datacenter Configurations (including IT, Power, Cooling)
by: Gnibga, Wedan Emmanuel, et al.
Published: (2026)

Efficient CPU-GPU Collaborative Inference for MoE-based LLMs on Memory-Limited Systems
by: Huang, En-Ming, et al.
Published: (2025)

GPU Sharing with Triples Mode
by: Byun, Chansup, et al.
Published: (2024)

FlexiWalker: Extensible GPU Framework for Efficient Dynamic Random Walks with Runtime Adaptation
by: Park, Seongyeon, et al.
Published: (2025)

ParvaGPU: Efficient Spatial GPU Sharing for Large-Scale DNN Inference in Cloud Environments
by: Lee, Munkyu, et al.
Published: (2024)

Accelerating Intra-Node GPU-to-GPU Communication Through Multi-Path Transfers with CUDA Graphs
by: Sojoodi, Amirhossein, et al.
Published: (2026)

FlexPie: Accelerate Distributed Inference on Edge Devices with Flexible Combinatorial Optimization[Technical Report]
by: Zhang, Runhua, et al.
Published: (2025)

AgentServe: Algorithm-System Co-Design for Efficient Agentic AI Serving on a Consumer-Grade GPU
by: Zhang, Yuning, et al.
Published: (2026)

AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping
by: Park, Seongyeon, et al.
Published: (2024)

Mell: Memory-Efficient Large Language Model Serving via Multi-GPU KV Cache Management
by: Qianli, Liu, et al.
Published: (2025)

Incidence Constraints in Hypergraph Partitioning on GPU
by: Ronzani, Marco, et al.
Published: (2026)

Predictable LLM Serving on GPU Clusters
by: Darzi, Erfan, et al.
Published: (2025)

GPU Accelerated Sparse Cholesky Factorization
by: Karsavuran, M. Ozan, et al.
Published: (2024)

HAS-GPU: Efficient Hybrid Auto-scaling with Fine-grained GPU Allocation for SLO-aware Serverless Inferences
by: Gu, Jianfeng, et al.
Published: (2025)

Optimizing Distributed Protocols with Query Rewrites [Technical Report]
by: Chu, David, et al.
Published: (2024)

xLLM Technical Report
by: Liu, Tongxuan, et al.
Published: (2025)

Optimizing Bloom Filters for Modern GPU Architectures
by: Jünger, Daniel, et al.
Published: (2025)

CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads
by: Stoyanov, Radostin, et al.
Published: (2025)

Methodology for GPU Frequency Switching Latency Measurement
by: Velicka, Daniel, et al.
Published: (2025)

Adaptive Multidimensional Quadrature on Multi-GPU Systems
by: Tonarelli, Melanie, et al.
Published: (2025)

A Multi-Objective Framework for Optimizing GPU-Enabled VM Placement in Cloud Data Centers with Multi-Instance GPU Technology
by: Siavashi, Ahmad, et al.
Published: (2025)

Breaking the Memory Wall: A Study of I/O Patterns and GPU Memory Utilization for Hybrid CPU-GPU Offloaded Optimizers
by: Maurya, Avinash, et al.
Published: (2024)

FedAPTA: Federated Multi-task Learning for Heterogeneous Devices with Adaptive Layer-wise Pruning and Task-aware Aggregation
by: Yu, Zhen, et al.
Published: (2025)