Sep 21, 2023 · In this paper, we propose a framework to automatically find an efficient integration of memory optimization and parallelism for High-Throughput Transformer ...

In this paper, we propose a framework to automatically find an efficient integration of memory opti- mization and parallelism for High-Throughput Transformer ...

May 30, 2024 · In this paper, we propose a framework to automatically find an efficient integration of memory optimization and parallelism for High-Throughput ...

H3T: efficient integration of memory optimization and parallelism for high-throughput transformer training. Y Wang, X Han, W Zhao, G Zeng, Z Liu, M Sun.

This paper proposes a framework to automatically find an efficient integration of memory optimization and parallelism for big Transformer-based models (named ...

Jun 12, 2024 · This paper proposes ProTrain, a novel training system that intelligently balances memory usage and performance by coordinating memory, computation, and IO.

Aug 20, 2024 · H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training. In Thirty-seventh Conference on ...

This paper introduces the Partial Redundancy Optimizer (PaRO) to improve the efficiency of training large language models (LLMs) by optimizing the trade-off ...

This paper proposes a framework to automatically find an efficient integration of memory optimization and parallelism for big Transformer-based models (named ...

H3t: Efficient integration of memory optimization and parallelism for high-throughput transformer training. Proc 37th Conf on Neural Information Processing ...