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Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model Parallelization
Arxiv
0+阅读 · 10月17日
Efficient Parallelization Layouts for Large-Scale Distributed Model Training
Arxiv
0+阅读 · 9月24日
Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decomposition
Arxiv
0+阅读 · 8月26日
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference
Arxiv
0+阅读 · 8月14日
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference
Arxiv
0+阅读 · 8月17日
On Optimizing the Communication of Model Parallelism
Arxiv
0+阅读 · 8月18日
Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules
Arxiv
0+阅读 · 7月3日
Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules
Arxiv
0+阅读 · 6月30日
Universal Checkpointing: Efficient and Flexible Checkpointing for Large Scale Distributed Training
Arxiv
0+阅读 · 6月28日
Universal Checkpointing: Efficient and Flexible Checkpointing for Large Scale Distributed Training
Arxiv
0+阅读 · 6月27日
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
Arxiv
0+阅读 · 6月27日
RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians
Arxiv
0+阅读 · 6月22日
RetinaGS: Scalable Training for Dense Scene Rendering with Billion-Scale 3D Gaussians
Arxiv
0+阅读 · 6月17日
A Comparative Analysis of Distributed Training Strategies for GPT-2
Arxiv
0+阅读 · 5月24日
Enhancing IoT Malware Detection through Adaptive Model Parallelism and Resource Optimization
Arxiv
0+阅读 · 4月12日
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