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and-cluster-computing
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and-cluster-computing
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656
Documents about and-cluster-computing
Documents about and-cluster-computing
BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services
#650671
arXiv (OAI Expanded)
BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services
#652124
arXiv (All)
ScaleSense: Cost-Intelligent Scaling Framework via Learned Resource Estimation in Alibaba AnalyticDB
#674520
arXiv (OAI Expanded)
ScaleSense: Cost-Intelligent Scaling Framework via Learned Resource Estimation in Alibaba AnalyticDB
#677723
arXiv (All)
HARTS: Efficient Agentic Reinforcement Learning for Hybrid-Attention Models over Arbitrary Rollout Trees
#783322
arXiv (OAI Expanded)
HARTS: Efficient Agentic Reinforcement Learning for Hybrid-Attention Models over Arbitrary Rollout Trees
#784912
arXiv (All)
Kascade: A Practical Sparse Attention Method for Long-Context LLM Inference
#797287
arXiv (OAI Expanded)
Kascade: A Practical Sparse Attention Method for Long-Context LLM Inference
#798701
arXiv (All)
Operation-Type-Aware Client Routing for Leader-Based Consensus Datastores
#809845
arXiv (OAI Expanded)
Operation-Type-Aware Client Routing for Leader-Based Consensus Datastores
#819841
arXiv (All)
Para-Pipe: Exploiting Hierarchical Operator Parallelism of ML Computational Graphs on SoCs
#927034
arXiv (All)
DSPE: Profit Maximization in Edge-Cloud Storage System using Dynamic Space Partitioning with Erasure Code
#971701
arXiv (All)
The 2M Multiplication Algorithm for Complex Matrices
#972486
arXiv (All)
Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers
#972494
arXiv (All)
Impossibility of One-Way One-Round Quantum 4-Coloring via Matrix-Space Stability
#986694
arXiv (All)
HELIOS: Guardrailed LLM-Driven Evolution of Autonomous Resource Orchestration Policies for Multi-Cloud Distributed Systems
#986937
arXiv (All)
OneLA: Scaling Linear-Attention Decoding to Large Beams in Generative Recommendation
#1000350
arXiv (All)
GroupKV: Hierarchical KV Cache Management for Long-Context Diffusion LLM Inference
#1011307
arXiv (All)
COMPASS-ABS: Reducing Fragmentation in Shared GPU Clusters for Deep Learning Training Workloads
#1012700
arXiv (All)
A Treasure Trove of Performance: Analyzing the IO500 Submission Data
#1013557
arXiv (All)
Detecting Soft Errors in Parallel Software with LLM-tuned Instruction Duplication
#1014124
arXiv (All)
How Much of a Real Workload Can LLM-Generated GPU Kernels Actually Reach?
#1035028
arXiv (All)
When Does Learning Beat Heuristics? A Case Study in Kubernetes Scheduler Score Plugins
#1036825
arXiv (All)
Deep Reinforcement Learning for Fault-Adaptive Routing in Eisenstein-Jacobi Interconnection Topologies
#1048564
arXiv (All)
Conflicting Pattern Formation by Teams of Anonymous, Fully Disoriented Robots
#1049195
arXiv (All)
MCP-GRANITE Benchmark: GRANularity Interface TEsting for MCP-Based LLM Agents
#1050346
arXiv (All)
A principled approach for energy-efficient training via phase-aware GPU frequency tuning
#1050388
arXiv (All)
Anatomy of a Quantized Agent: VRAM Stability and Forecasting in Code-Synthesis Agentic Workloads
#611067
arXiv (OAI Expanded)
Anatomy of a Quantized Agent: VRAM Stability and Forecasting in Code-Synthesis Agentic Workloads
#612544
arXiv (All)
Dodoor: Efficient Randomized Decentralized Scheduling with Load Caching for Heterogeneous Tasks and Clusters
#650660
arXiv (OAI Expanded)
Dodoor: Efficient Randomized Decentralized Scheduling with Load Caching for Heterogeneous Tasks and Clusters
#652113
arXiv (All)
ReLATE: Accelerating Tensor Decomposition via Safe and Efficient Learning of Sparse Encodings
#674218
arXiv (OAI Expanded)
ReLATE: Accelerating Tensor Decomposition via Safe and Efficient Learning of Sparse Encodings
#677415
arXiv (All)
Revisiting Bruck: Phase-Efficient All-to-All Collective Communication in Reconfigurable Networks
#797500
arXiv (OAI Expanded)
Beating Quadratic Time--Message Trade-off in Distributed Minimum Spanning Tree Construction
#798089
arXiv (OAI Expanded)
Revisiting Bruck: Phase-Efficient All-to-All Collective Communication in Reconfigurable Networks
#798914
arXiv (All)
Beating Quadratic Time--Message Trade-off in Distributed Minimum Spanning Tree Construction
#799512
arXiv (All)
Comparison of Algebraic Block Multi-Coloring and Leiden Methods for Parallel Preconditioning in the ICCG Method
#820000
arXiv (All)
OctoPipe: Reducing Pipeline Bubbles for Heterogeneous Models via Co-Optimizing Partitioning, Placement, and Scheduling
#821727
arXiv (All)
COAST: Congestion-Aware Start-Time Recommendations for Carbon-Aware HPC Jobs
#972507
arXiv (All)
Compiler-supported reduced precision and AoS-SoA transformations for heterogeneous hardware
#984098
arXiv (All)
Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data
#984207
arXiv (All)
Cold-Start Model Delivery in Kubernetes Inference Serving: An Empirical Study of OCI-Based Distribution and Its Integrity
#985176
arXiv (All)
Adaptive Black-Box Exactness Barriers for Nearest-Source Girth Estimation in CONGEST
#986322
arXiv (All)
Level set-based inverse homogenisation of three-dimensional piezoelectric materials
#997925
arXiv (All)
Fed-Equilibrium Framework for Topological Pareto Control in Robust and Fair Clinical Federated Learning
#999922
arXiv (All)
Efficient Vision-Language-Action Management and Serving for Robot Factories
#1000048
arXiv (All)
ASPIRE: Asynchronous Batched Self-Speculative Decoding for Long-Context LLM Inference
#1011655
arXiv (All)
Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning
#1013634
arXiv (All)
AI or Real: Detecting Partially Altered Videos Under Resource-Constrained Environments
#1034031
arXiv (All)
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