Aquifer is the first system to serve MicroVM snapshots from a hierarchical CXL+RDMA memory pool using hotness-based formatting, ownership coherence, and copy-based serving, delivering 2.2x speedup over Firecracker.
Berger, Marie Nguyen, Xun Jian, Sam H
3 Pith papers cite this work. Polarity classification is still indexing.
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Router fine-tuning that biases MoE models toward short-term expert reuse improves cache locality, delivering 26% higher reuse and 1.77-1.99x decode speedup under memory constraints without inference-time overhead.
Proxics introduces lightweight virtual processors and low-latency communication channels as portable OS abstractions for programming near-data processing accelerators, demonstrated on real hardware for memory-intensive workloads.
citing papers explorer
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Aquifer: Hierarchical Memory Pooling with CXL and RDMA for MicroVM Snapshots
Aquifer is the first system to serve MicroVM snapshots from a hierarchical CXL+RDMA memory pool using hotness-based formatting, ownership coherence, and copy-based serving, delivering 2.2x speedup over Firecracker.
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ReMoE: Boosting Expert Reuse through Router Fine-Tuning in Memory-Constrained MoE LLM Inference
Router fine-tuning that biases MoE models toward short-term expert reuse improves cache locality, delivering 26% higher reuse and 1.77-1.99x decode speedup under memory constraints without inference-time overhead.
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Proxics: an efficient programming model for far memory accelerators
Proxics introduces lightweight virtual processors and low-latency communication channels as portable OS abstractions for programming near-data processing accelerators, demonstrated on real hardware for memory-intensive workloads.