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ASPLOS'23 - Session 5C - Mobius: Fine Tuning Large-scale Models on Commodity GPU Servers
ASPLOS'23 - Session 5C - Homunculus: Auto-Generating Efficient Data-Plane ML Pipelines for Datacente
ASPLOS'23 - Session 5C - TensorIR: An Abstraction for Automatic Tensorized Program Optimization
ASPLOS'23 - Session 5B - Prism: Optimizing Key-Value Store for Modern Heterogeneous Storage Devices
ASPLOS'23 - Session 8C - Khuzdul: Efficient and Scalable Distributed Graph Pattern Mining Engine
ASPLOS'23 - Session 5B - Re-architecting I/O Caches for Emerging Fast Storage Devices
ASPLOS'23 - Session 5C - FLAT: An Optimized Dataflow for Mitigating Attention Bottlenecks
ASPLOS'23 - Session 5C - TLP: A Deep Learning-based Cost Model for Tensor Program Tuning
ASPLOS'23 - Session 5B - RAIZN: Redundant Array of Independent Zoned Namespaces
ASPLOS'23 - Session 3C - SpecPMT: Speculative Logging for Resolving Crash Consistency Overhead of Pe
ASPLOS'23 - Session 5A - VClinic: A Portable and Efficient Framework for Fine-grained Value Profiler
ASPLOS'23 - Session 6C - Glign: Taming Misaligned Graph Traversals in Concurrent Graph Processing