DLLM解码计算并行化存在严重低效，只有少数token可解码，此文精准定位瓶颈并提出优化方向。
arXiv:2601.23278v2 Announce Type: replace Abstract: Diffusion Large Language Models (DLLMs) offer a compelling alternative to Auto-Regressive models, …
利用agentic AI自动化HPC遗留代码的并行化与迁移，为科研软件工程提速。
arXiv:2606.08710v1 Announce Type: cross Abstract: Modernization of legacy scientific codes is often necessary to keep up with the ever-evolving change…
提出可并行化的记忆循环单元，突破传统RNN序列计算瓶颈，显著提升训练效率
arXiv:2601.09495v3 Announce Type: replace Abstract: With the emergence of massively parallel processing units, parallelization has become a desirable …
将并行计算引入反事实遗憾最小化算法，大幅提升游戏求解效率，AI博弈新突破
arXiv:2605.14277v1 Announce Type: new Abstract: Parallelization has played an instrumental role in the field of artificial intelligence (AI), drastica…