conftrace_

heterogeneous computing

16 papers

Explore in graph

Co-occurring keywords

distributed training (188) distributed computing (98) large language model (13587) deep neural network (1803) model parallelism (43) field programmable gate array (11) gpu training (6) memory optimization (114) distributed learning (563) command queue (1)

Papers

Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference EMNLP 2025
XSched: Preemptive Scheduling for Diverse XPUs OSDI 2025
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling AAAI 2025
SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation NIPS 2024
HPipe: Large Language Model Pipeline Parallelism for Long Context on Heterogeneous Cost-effective Devices NAACL 2024
FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract) IJCAI 2023
AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness NIPS 2022
Decentralized Training of Foundation Models in Heterogeneous Environments NIPS 2022
MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters NSDI 2022
HetSeq: Distributed GPU Training on Heterogeneous Infrastructure AAAI 2021
Efficient Algorithms for Device Placement of DNN Graph Operators NIPS 2020
A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters OSDI 2020
Direct Universal Access: Making Data Center Resources Available to FPGA NSDI 2019
DMC: A Distributed Model Counter IJCAI 2018
Efficient Use of Limited-Memory Accelerators for Linear Learning on Heterogeneous Systems NIPS 2017
TensorFlow: A System for Large-Scale Machine Learning OSDI 2016