Walk into any modern AI lab, data center, or autonomous vehicle development environment, and you’ll hear engineers talk endlessly about FLOPS, TOPS, sparsity, quantization, and model scaling laws.

The number of AI inference chip startups in the world is gross – literally gross, as in a dozen dozens. But there is only one that is funded by two of the three biggest makers of HBM stacked memory ...

Inflammation comprises the detection and response to injury and pathogens, the accumulation and intervention of cells that eliminate invading microorganisms and infected host cells, and the repair of ...

Abstract: Number Theoretic Transform (NTT) is a key operation for efficient polynomial multiplication in lattice-based cryptographic schemes. This paper explores using a 2-D Systolic Array ...

Abstract: We present a Mathematics of Arrays (MoA) and ψ-calculus derivation of the memory-optimal operational normal form for ELLPACK sparse matrix-vector multiplication (SpMV) on GPUs. Under the ...

Simulation of GEMM and convolution (as im2col) operations Analytical compute cycles validated by RTL simulation Separate double-buffered memory modeling for Input, Filter and Output matrices ...