SAGA introduces workflow-atomic scheduling for compound AI agents, achieving 1.64x lower task completion time and 1.22x better memory utilization than vLLM on a 64-GPU cluster at the cost of 30% lower peak throughput.
Designing a QEMU plugin to profile multicore long vector RISC-V architectures: RAVE
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uLEAD-TabPFN detects anomalies in tabular data by scoring violations of conditional dependencies estimated via frozen PFNs with uncertainty awareness, achieving top average rank and up to 20% ROC-AUC gains on high-dimensional ADBench datasets.
A systematic mapping study of 87 papers derives an architecture-based taxonomy for Workflow as a Service brokers and identifies future research directions.
SAT-RTS introduces a pipeline that abstracts high-dimensional RTS sequences into discrete tactical labels and hierarchical visualizations to improve interpretability of AI micromanagement.
Three scheduling strategies for hybrid quantum-HPC systems cut classical resource use by up to 64% or boost QPU utilization depending on workload balance, validated on real hardware.
MAMO uses multi-agent RL to automatically select reward weights for constrained optimization problems in non-stationary environments.
The EPAC chip integrates three RISC-V tiles connected by a CHI network-on-chip and has been successfully taped out and validated in GF22FDX technology as part of the European Processor Initiative.
Review of optical metasurfaces enabling large-scale neutral-atom trapping arrays for quantum information technologies.
citing papers explorer
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SAGA: Workflow-Atomic Scheduling for AI Agent Inference on GPU Clusters
SAGA introduces workflow-atomic scheduling for compound AI agents, achieving 1.64x lower task completion time and 1.22x better memory utilization than vLLM on a 64-GPU cluster at the cost of 30% lower peak throughput.
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uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN
uLEAD-TabPFN detects anomalies in tabular data by scoring violations of conditional dependencies estimated via frozen PFNs with uncertainty awareness, achieving top average rank and up to 20% ROC-AUC gains on high-dimensional ADBench datasets.
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Workflow as a Service Broker in Cloud Environment: A Systematic Mapping Study
A systematic mapping study of 87 papers derives an architecture-based taxonomy for Workflow as a Service brokers and identifies future research directions.
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SAT-RTS: A systematic framework for tactical knowledge extraction and visualization-based analysis in real-time strategy games
SAT-RTS introduces a pipeline that abstracts high-dimensional RTS sequences into discrete tactical labels and hierarchical visualizations to improve interpretability of AI micromanagement.
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Three ways to share a QPU: Scheduling strategies for hybrid Quantum-HPC applications
Three scheduling strategies for hybrid quantum-HPC systems cut classical resource use by up to 64% or boost QPU utilization depending on workload balance, validated on real hardware.
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A Multi-Agent system for Multi-Objective constrained optimization
MAMO uses multi-agent RL to automatically select reward weights for constrained optimization problems in non-stationary environments.
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EPAC: The Last Dance
The EPAC chip integrates three RISC-V tiles connected by a CHI network-on-chip and has been successfully taped out and validated in GF22FDX technology as part of the European Processor Initiative.
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Metasurfaces for neutral-atom trapping
Review of optical metasurfaces enabling large-scale neutral-atom trapping arrays for quantum information technologies.