Qurator jointly optimizes queue time and fidelity for hybrid quantum-classical workflows across providers using quantum-aware DAG scheduling and a unified logarithmic fidelity score, achieving 30-75% wait reduction at high load with bounded accuracy cost.
Starpu: A unified platform for task scheduling on heterogeneous multicore architectures,
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Proposes a hardware task scheduler for heterogeneous accelerator systems that decomposes applications into shared primitives and schedules tasks out-of-order and speculatively, reporting up to 12x speedup on DSP benchmarks versus sequential execution.
Review chapter summarizing advances in parallel sparse direct solvers along communication reduction and data-sparse compression axes.
citing papers explorer
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Qurator: Scheduling Hybrid Quantum-Classical Workflows Across Heterogeneous Cloud Providers
Qurator jointly optimizes queue time and fidelity for hybrid quantum-classical workflows across providers using quantum-aware DAG scheduling and a unified logarithmic fidelity score, achieving 30-75% wait reduction at high load with bounded accuracy cost.
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HTS: A Hardware Task Scheduler for Heterogeneous Systems
Proposes a hardware task scheduler for heterogeneous accelerator systems that decomposes applications into shared primitives and schedules tasks out-of-order and speculatively, reporting up to 12x speedup on DSP benchmarks versus sequential execution.
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Parallel Sparse and Data-Sparse Factorization-based Linear Solvers
Review chapter summarizing advances in parallel sparse direct solvers along communication reduction and data-sparse compression axes.