New computational techniques, “HighLight” and “Tailors and Swiftiles,” could dramatically boost the speed and performance of high-performance computing applications like graph analytics or generative AI. The work, from MIT and NIVIDIA, aims to accelerate sparse tensors for AI models by introducing more efficient and flexible ways to take advantage of sparsity.
Dream Chip Technologies has announced the tape-out of an application-specific System-on-Chip (SoC) with a new artificial intelligence (AI) accelerator.
Cadence Tensilica ConnX 110 and ConnX 120 DSPs provide ultra-low power and a small footprint balanced with high performance for radar, lidar, and communications .