27 citations · 109 across the 24 of their papers we have counts for
24 papers
CCCL: Node-Spanning GPU Collectives with CXL Memory Pooling
Dong Xu, Han Meng, Xinyu Chen +11
Large language models (LLMs) training or inference across multiple nodes introduces significant pressure on GPU memory and interconnect bandwidth. The Compute Express Link (CXL) sh…
Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory Systems
Jie Ren, Dong Xu, Ivy Peng +4
Multi-tiered large memory systems call for rethinking of memory profiling and migration because of the unique problems unseen in the traditional memory systems with smaller capacit…
MOARD: Modeling Application Resilience to Transient Faults on Data Objects
Luanzheng Guo, Dong Li
Understanding application resilience (or error tolerance) in the presence of hardware transient faults on data objects is critical to ensure computing integrity and enable efficien…
MATCH: An MPI Fault Tolerance Benchmark Suite
Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris +2
MPI has been ubiquitously deployed in flagship HPC systems aiming to accelerate distributed scientific applications running on tens of hundreds of processes and compute nodes. Main…
Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation
Wenqian Dong, Jie Liu, Zhen Xie +1
The Eulerian fluid simulation is an important HPC application. The neural network has been applied to accelerate it. The current methods that accelerate the fluid simulation with n…
Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation
Wenqian Dong, Zhen Xie, Gokcen Kestor +1
The optimal power flow (OPF) problem is one of the most important optimization problems for the operation of the power grid. It calculates the optimum scheduling of the committed g…