Amar Phanishayee
where else to find them
no profile links on file
what they talk about
where they keep going back
no series more than once — all 4 in the filters
on a stage with
all 14 in the filters
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| CheckFreq: Frequent, Fine-Grained DNN Checkpointing | FAST '21 | 2021-02-23 |
CheckFreq implements two-phase checkpointing (snapshot in GPU or CPU then asynchronous persist) plus a resumable iterator and online profiling with adaptive… | ||
| Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training | USENIX ATC '20 | 2020-07-15 |
Daydream builds a fine-grained dependency graph from CUPTI traces plus per-layer timestamps, applies simple graph-transformation primitives (select, shrink… | ||
| 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… | ||
| nothing matches | ||