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RT-HiSS achieves unprecedented speedups for high-dimensional similarity searches, revolutionizing the efficiency of GPU-based algorithms.
Spatial queries on massive datasets can be sped up by 3.6x and consume 3.4x less energy by pushing computation directly into memory using a commercial processing-in-memory system.
