Multi-Prediction Compression: An Efficient and Scalable Memory Compression Framework for GP-GPU

Data-intensive applications and throughput-oriented processors demand more memory bandwidth. Memory compression can provide data beyond physical limits, yet new types smaller block sizes are challenging. This paper presents a novel lightweight framework, Multi-Prediction Compression (MPC), to increase the effective Based on multiple prediction models data-driven algorithm tuning, MPC 31.7% better than state-of-the-art (SOTA) algorithms for 32B blocks. Moreover, is hardware-friendly scalable support growing number of patterns.