89 citations · 191 across the 20 of their papers we have counts for
3 papers · 1 filter
GraphTensor: Comprehensive GNN-Acceleration Framework for Efficient Parallel Processing of Massive Datasets
Junhyeok Jang, Miryeong Kwon, Donghyun Gouk +2
We present GraphTensor, a comprehensive open-source framework that supports efficient parallel neural network processing on large graphs. GraphTensor offers a set of easy-to-use pr…
Asynchronous Persistence with ASAP
Ahmed Abulila, Izzat El Hajj, Myoungsoo Jung +1
Supporting atomic durability of updates for persistent memories is typically achieved with Write-Ahead Logging (WAL). WAL flushes log entries to persistent memory before making the…
Failure Tolerant Training with Persistent Memory Disaggregation over CXL
Miryeong Kwon, Junhyeok Jang, Hanjin Choi +2
This paper proposes TRAININGCXL that can efficiently process large-scale recommendation datasets in the pool of disaggregated memory while making training fault tolerant with low o…