This paper proposes a novel method of vector quantization using reflections of triangular subcodevectors. This method jointly reduces the memory and computational resources required for VQ.

The modern GPUs are well suited for intensive computational tasks and massive parallel computation. Sparse matrix multiplication and linear triangular solver are the most important and heavily used ...