This topic explores GPU architecture and CUDA programming, focusing on three key aspects. First, it discusses the SIMT (Single Instruction, Multiple Threads) block-based architecture and how CUDA kernels leverage this parallelism. Second, it covers memory, for efficient data access. Finally, it examines hardware and software synchronization methods, such as barriers, essential for coordinating thread execution in parallel computing.

This article follows the journey of a USB flash drive from physical connection to user integration.

Deep dive through the manufacturing process of CPUs and what are the challenges related to it

This article aims to give an in depth description on EUCLEAK, an attack that was discovered by NinjaLab. Focusing on how side-channels attacks were used to exploit a vulnerability found in ECDSA implementation in YubiKey 5 Series and to reverse engineer the ECDSA algorithm.

Introducing multi-process FSM in VHDL