Nvidia shrinks LLM memory 20x without changing model weights

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.
IEEE

Fully Tensorized GPU-Accelerated Multi-Population Evolutionary Algorithm for Constrained Multiobjective Optimization Problems

Abstract: Real-world constrained multiobjective optimization problems (CMOPs) are prevalent and often come with stringent time-sensitive requirements. However, most contemporary constrained ...
IEEE

A Knowledge-Driven Genetic Algorithm With Variable Neighborhood Search for Flexible Job Shop Scheduling Problems

Abstract: The flexible job shop scheduling problem is a typical NP-hard problem, which has strong guiding significance for production scheduling in enterprises. In this paper, we propose an improved ...