Search Results for author:
Found 6 papers, 4 papers with code
TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches
TACCL uses a novel communication sketch abstraction to get crucial information from the designer to significantly reduce the search space and guide the synthesizer towards better algorithms.
Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
Unfortunately, these schedulers do not consider the impact of a job's sensitivity to allocation of CPU, memory, and storage resources.
Memory Optimization for Deep Networks
Deep learning is slowly, but steadily, hitting a memory bottleneck.
Analyzing and Mitigating Data Stalls in DNN Training
We analyze nine different models across three tasks and four datasets while varying factors such as the amount of memory, number of CPU threads, storage device, GPU generation etc on servers that are a part of a large production cluster at Microsoft.
Rainblock: Faster Transaction Processing in Public Blockchains
Public blockchains like Ethereum use Merkle trees to verify transactions received from untrusted servers before applying them to the blockchain.
Distributed, Parallel, and Cluster Computing
RECIPE : Converting Concurrent DRAM Indexes to Persistent-Memory Indexes
We present Recipe, a principled approach for converting concurrent DRAM indexes into crash-consistent indexes for persistent memory (PM).
Distributed, Parallel, and Cluster Computing Databases Data Structures and Algorithms
