Mosharaf Chowdhury
where else to find them
what they talk about
all 6 in the filters
where they keep going back
- NSDI3 editions2019–2023
all 10 in the filters
on a stage with
all 53 in the filters
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Kareus: Joint Reduction of Dynamic and Static Energy in Large Model Training | 20th USENIX Symposium on Operating Systems Design and Implementation (OSDI '26) | 2026-07-13 |
Kareus jointly optimizes GPU frequency, SM allocation and launch timing, and kernel scheduling using multi-objective Bayesian optimization per partition to… | ||
| Managing Memory Tiers with CXL in Virtualized Environments | 18th USENIX Symposium on Operating Systems Design and Implementation (OSDI '24) | 2024-07-10 |
Introduces Intel Flat Memory Mode, a hardware-managed, cacheline-granular CXL tier that acts as a direct-map exclusive cache with zero CPU overhead and… | ||
| Vulcan: Automatic Query Planning for Live ML Analytics | 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24) | 2024-04-16 |
Vulcan automatically generates full query plans for live ML analytics by building pipelines, deciding filter order, and jointly optimizing operator placement… | ||
| AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models | OSDI 2023 | 2023-07-10 |
AdaEmbed is a system that performs in-training embedding pruning for DLRMs, ranking billions of embedding rows by runtime access frequency and a moving average… | ||
| Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training | NSDI 2023 | 2023-04-17 |
Zeus is an online optimizer that jointly tunes batch size and GPU power limit to minimize energy per target accuracy, using an exploration‑exploitation… | ||
| ModelKeeper: Accelerating DNN Training via Automated Training Warmup | NSDI 2023 | 2023-04-17 |
ModelKeeper automatically initializes new DNN training by transforming weights from previously trained models in a shared cluster, using structure-aware… | ||
| Justitia: Software Multi-Tenancy in Hardware Kernel-Bypass Networks | 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI '22) | 2022-04-04 |
Justitia inserts a software layer before hardware kernel-bypass NICs, splitting large sends into chunks and issuing them under a token bucket so the NIC’s… | ||
| Hydra : Resilient and Highly Available Remote Memory | FAST '22 | 2022-02-22 |
Hydra is a remote-memory system that encodes 4 KB pages on-the-fly and serves reads/writes with single-digit μs latency by asynchronous encode/write, k+r… | ||
| Oort: Efficient Federated Learning via Guided Participant Selection | 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI '21) | 2021-07-14 |
Oort is a participant-selection framework that selects clients by a combined loss-over-duration utility score, using exploration/exploitation and uncertainty… | ||
| Ship Compute or Ship Data? Why Not Both? | NSDI ’21 | 2021-04-12 |
Kayak is a prototype that adaptively splits requests between a KV (ship data) path and an RPC (ship compute) path by tuning rate limit and request fraction… | ||
| Effectively Prefetching Remote Memory with Leap | USENIX ATC '20 | 2020-07-15 |
Leap is a Linux kernel patch (tested on 4.4) that implements an online, majority-based prefetching algorithm plus a stripped data path that cuts out generic… | ||
| Near Optimal Latency Versus Cost Tradeoffs in Geo Distributed Storage | NSDI 2020 | 2020-02-25 |
Paper claims a concrete system-level win: by allowing erasure coding and reworking Paxos-style quorums the design called Pando cuts write latency from 120 ms… | ||
| Sol: Fast Distributed Computation Over Slow Networks | NSDI 2020 | 2020-02-25 |
Sol is a federated execution engine that pushes tasks to site managers to hide hundreds-of-milliseconds control latency and decouples communication from… | ||
| Tiresias: A GPU Cluster Manager for Distributed Deep Learning | NSDI 2019 | 2019-02-26 |
Tiresias is a GPU cluster manager that actually implements two age‑based schedulers — Discretized Two‑Dimensional Gittins index (needs a prior distribution)… | ||
| nothing matches | ||