Shivaram Venkataraman
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- NSDI3 editions2019–2023
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| title | conference | date |
|---|---|---|
| SYMPHONY: Enabling Compute-Memory Disaggregation in LLM Serving Systems | NSDI '26 | 2026-05-04 |
SYMPHONY builds a low-latency disaggregated memory layer that moves KV caches off GPUs using advisory requests prefetch and a multi-tier storage pipeline… | ||
| Quake: Adaptive Indexing for Vector Search | OSDI '25 | 2025-07-07 |
Quake implements a multi-level partitioning index with a practical cost model that picks splits/merges by estimated query cost, an online adaptive partition… | ||
| Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning | NSDI 2023 | 2023-04-17 |
Shockwave is a cluster scheduler that predicts batch‑size and throughput changes using a Bayesian mixture‑of‑regimes model and expands Fisher markets into a… | ||
| Marius: Learning Massive Graph Embeddings on a Single Machine | 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI '21) | 2021-07-14 |
A system called Marius trains billion-edge graph embeddings on a single machine by combining partition buffer, asynchronous I/O, pipelining and a new beta… | ||
| Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo | NSDI ’21 | 2021-04-12 |
Cameo treats operator invocations as serverless functions and attaches priority context metadata to events so schedulers stay stateless while propagating… | ||
| Too Many Knobs to Tune? Towards Faster Database Tuning by Pre-selecting Important | 12th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage '20) | 2020-07-13 |
Experimental study shows that tuning five knobs out of 155 on Cassandra with YCSB-A reaches about 99% of the best throughput, identified by a random forest… | ||
| Themis: Fair and Efficient GPU Cluster Scheduling | NSDI 2020 | 2020-02-25 |
Proposes a new finish-time fairness (Rho) metric and a two-step allocator: filter top (1−f) apps then run a partial-allocation auction that computes a… | ||
| Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads | USENIX ATC '19 | 2019-07-10 |
Analysis uses a 75‑day trace from Microsoft Philly (shared by 14 production groups) combining scheduler logs, hardware counters and AI‑engine logs to profile… | ||
| Shuffling, Fast and Slow: Scalable Analytics on Serverless Infrastructure | NSDI 2019 | 2019-02-26 |
Locus implements a hybrid shuffle that buffers hot partitions in fast cache (Redis) and spills to cheap object storage (S3), guided by a performance/cost model… | ||
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