Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Intel GPUs are built from Xe-cores: vector engines for SIMD math plus XMX matrix engines, programmed with oneAPI, SYCL and Level Zero. Here is how.
How a CUDA SGEMM goes from 1% to over 90% of cuBLAS: coalescing, shared memory tiling, register blocking, double buffering, warp tiling and tensor cores.
An NVIDIA SM is four partitions, each with a warp scheduler, a 64 KB register file and a tensor core. How they hide latency, and how to compute occupancy.
CUDA runs a kernel as a grid of thread blocks, split into 32-thread warps on SMs. Here is how SIMT, memory spaces, coalescing and sync really work.
Photolithography prints chip patterns with light through a mask into photoresist. How contact printing became 193 nm immersion, multi-patterning and overlay.
EUV scanners make 13.5 nm light from tin plasma, bounce it off Mo/Si mirrors and a reflective mask, and scan wafers to sub-nanometre precision.
A GPU turns triangles into pixels with thousands of parallel shader threads. Follow a draw call through rasterization, ROPs, ray tracing and compute.
Vedic, Trachtenberg, soroban, Chisanbop, peasant, lattice, base 60, base 20 and champion methods run on the same 7 problems, with step and memory counts.
Line multiplication draws each digit as sticks and counts the crossings per zone. Worked on four problems, proved with algebra, and its name checked.
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