Paper-Conference

When RDMA Goes Long-Haul: Characterization, Modeling, and Verbs-Level Emulation with Implications for Federated Learning

Characterization, modeling, and verbs-level emulation of long-haul RDMA with implications for federated learning.

Jan 1, 2026

SPARe: Stacked Parallelism with Adaptive Reordering for Fault-Tolerant LLM Pretraining Systems with 100k+ GPUs

Fault-tolerant LLM pretraining system for 100k+ GPU scale using stacked parallelism and adaptive reordering.

Jan 1, 2026

FedMECA: Scalable Federated Learning via Memory-Efficient and Concurrent Aggregation

Scalable federated learning via memory-efficient and concurrent aggregation.

Jan 1, 2026

HPC-R1: Characterizing R1-like Large Reasoning Models on HPC

Characterization of R1-like large reasoning models on HPC-scale GPU clusters and interconnects.

Jan 1, 2025

FedDES: Discrete Event Based Performance Simulation for Federated Learning Systems

Discrete-event based performance simulation for federated learning systems across heterogeneous compute/network settings.

Jan 1, 2025

Can Long-Haul RDMA Benefit Federated Learning?

Communication-centric study of long-haul RDMA for geo-distributed federated learning.

Jan 1, 2025

Deep Learning Techniques for EEG-Based BCI: Analysis and Applications

Conference paper on deep learning techniques for EEG-based brain-computer interfaces (BCI).

Oct 1, 2023