Proposes AROM to shift LtRAM management to the OS by making pages read-only to applications, using CoW faults for writes to simplify DIMM hardware.
GNNLab: a factored system for sample-based GNN training over GPUs
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
Equilibria delivers per-container fairness controls and observability for CXL memory tiering, improving production workload performance by up to 52% over Linux TPP while suppressing noisy-neighbor interference.
Hamiltonian Graph Networks achieve 150-600x faster training via random feature parameter construction while retaining comparable accuracy and physical invariances on N-body systems up to 10,000 particles.
citing papers explorer
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The Kernel's Write: Application Read-Only Memory
Proposes AROM to shift LtRAM management to the OS by making pages read-only to applications, using CoW faults for writes to simplify DIMM hardware.
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Equilibria: Fair Multi-Tenant CXL Memory Tiering At Scale
Equilibria delivers per-container fairness controls and observability for CXL memory tiering, improving production workload performance by up to 52% over Linux TPP while suppressing noisy-neighbor interference.
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Rapid training of Hamiltonian graph networks using random features
Hamiltonian Graph Networks achieve 150-600x faster training via random feature parameter construction while retaining comparable accuracy and physical invariances on N-body systems up to 10,000 particles.