IEEE

SPIDER: A Sparsity-Aware High-Density Compute-in-ROM Architecture for Large-Scale Neural Networks On-Chip Deployment

Abstract: Compute-in-Memory (CiM) has emerged as a promising solution to address the memory bottleneck of von Neumann architectures. While SRAM-based CiM has seen significant progress due to mature ...
IEEE

DSTC: Dual-Side Sparse Tensor Core for DNNs Acceleration on Modern GPU Architectures

Abstract: Leveraging sparsity in deep neural network (DNN) models holds significant promise for accelerating model inference. However, current GPUs can only harness sparsity in model weights, leaving ...
9to5google

Samsung confirms Galaxy S26 series has an 8-bit display following 10-bit confusion

There seems to have been a mistake, and Samsung’s Galaxy S26 base model and Ultra variant are shipping with a display capable of 8-bit color, instead of 10-bit. This was always supposed to happen, but ...
Hacker

TurboSparse Efficiency: Achieving 97% Parameter Sparsity in Mixtral-47B

Large Language Models (LLMs) ushered in a technological revolution. We breakdown how the most important models work. Large Language Models (LLMs) ushered in a technological revolution. We breakdown ...