Proposes Distributed Persistence Domain and Persistent CXL Switch to enable low-latency persistence operations at CXL switch level while maintaining crash consistency in disaggregated memory.
In: Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W)
4 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 4representative citing papers
Empirical study of agentic LLM generation of parallel Julia code finds reliable execution only at small scales with recurring failures in task dependencies and scheduling at larger scales.
GALÆXI is a new architecture-agnostic high-order discontinuous Galerkin framework for compressible turbulent flows on multi-vendor GPU systems.
ITME uses CXL-hybrid memories for byte-addressable remote memory expansion in LLM inference, achieving up to 35.7% throughput improvement over conventional CPU-offloading.
citing papers explorer
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Distributed Persistence Domain for Persistent Memory Pooling
Proposes Distributed Persistence Domain and Persistent CXL Switch to enable low-latency persistence operations at CXL switch level while maintaining crash consistency in disaggregated memory.
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Generated, Parallel, Scalable? A Study of Agentic AI-Generated Julia Code on Supercomputers
Empirical study of agentic LLM generation of parallel Julia code finds reliable execution only at small scales with recurring failures in task dependencies and scheduling at larger scales.
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An Architecture-Agnostic High-Order Discontinuous Galerkin Framework for Compressible Flows
GALÆXI is a new architecture-agnostic high-order discontinuous Galerkin framework for compressible turbulent flows on multi-vendor GPU systems.
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ITME: Inference Tiered Memory Expansion with Disaggregated CXL-Hybrid Memories
ITME uses CXL-hybrid memories for byte-addressable remote memory expansion in LLM inference, achieving up to 35.7% throughput improvement over conventional CPU-offloading.