📅 Resource Scheduling - CWhiting · Scour

HiRL: Hierarchical Reinforcement Learning for Coordinated Resource Management in Heterogeneous Edge Computing ⚡High Performance Computing

Scaling PCIe Controllers for AI Bandwidth: A Multistream Architecture Analysis for 64 GT/s and 128 GT/s 🎮GPU Microarchitecture

semiengineering.com·1d

Large language model assisted hyper-heuristic evolutionary algorithm for groundwater level prediction ⚡LLM Optimization

How BigQuery actually executes a query (and why most optimization advice misses half the picture) (10 minute read) 🔍Query Execution

blog.dataengineerthings.org

·4d

MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces ⚡Performance Mythology

Multi-objective application placement in fog computing using graph neural network-based reinforcement learning 🌍Edge Computing

An Amortized Efficiency Threshold for Comparing Neural and Heuristic Solvers in Combinatorial Optimization ⚡LLM Optimization

Addressing Terminal Constraints in Data-Driven Demand Response Scheduling ⚡Energy Demand

SPLIT: SymPathy for Large jobs Improves Tail latency ⚡Low Latency

EnergyLens: Predictive Energy-Aware Exploration for Multi-GPU LLM Inference Optimization 🏗️LLM Infrastructure

Rescaled Asynchronous SGD: Optimal Distributed Optimization under Data and System Heterogeneity ⚡LLM Optimization

NeuroRisk: Physics-Informed Neural Optimization for Risk-Aware Traffic Engineering ⚡Performance Engineering

Semantics-Aware Communication:A Differentiated Allocation Perspective 🌊Streaming Systems

Porting the Nonlinear Optimization Library HiOp to Accelerator-Based Hardware Architectures ⚡High Performance Computing

Submodular Multi-Agent Policy Learning for Online Distributed Task Allocation in Open Multi-Agent Systems 🖧Distributed Systems

Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems 🧠AI Attribution

Pareto-Guided Optimal Transport for Multi-Reward Alignment 🔄Loop Optimization

Learning-Augmented Scalable Linear Assignment Problem Optimization via Neural Dual Warm-Starts 🧠Learned Indexing

Improving search efficiency via adaptive acquisition function selection in discrete black-box optimization 🔄Loop Optimization

Navigating LLM Valley: From AdamW to Memory-Efficient and Matrix-Based Optimizers ⚡LLM Optimization

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