Part2: #dailyreport #cuda #nvidia #gentoo #llvm #clang

I learned cmake config files and difference between
Compiler Runtime Library (libgcc and libatomic,
LLVM/Clang: compiler-rt, MSVC:vcruntime.lib) and C
standard library (glibc, musl) and C++ Standard Library
(GCC: libstdc++, LLVM: libc++, MSVC STL) and linker
(GCC:binutils, LLVM:lld) and ABI. Between “toolchain”
and “build pipeline”.

Gentoo STL:
- libc++: sys-devel/gcc
- libstdc++: llvm-runtimes/libcxx

Gentoo libc: sys-libs/glibc and sys-libs/musl

I learned how Nvidia CUDA and CUDNN distribud and what
tools PyTorch have.

Also, I updated my daemon+script to get most heavy
current recent process, which I share at my gentoo
overlay as a package.

Part1: #dailyreport #cuda #nvidia #gentoo #llvm #clang
#programming #gcc #c++ #linux #toolchain #pytorch

I am compiling PyTorch with CUDA and CUDNN. PyTorch is
mainly a Python library with main part of Caffe2 C++
library.

Main dependency of Caffe2 with CUDA support is
NVIDIA "cutlass" library (collection of CUDA C++
template abstractions). This library have "CUDA code"
that may be compiled with nvcc NVIDIA CUDA compiler,
distributed with nvidia-cuda-toolkit, or with LLMV
Clang++ compiler. But llvm support CUDA only up to 12.1
version, but may be used to compile CUDA for sm_52
architecture. Looks like kneeling before NVIDIA. :)

Before installing dev-libs/cutlass you should do:
export CUDAARCHS=75

I sucessfully compiled cutlass, now I am trying to
compile PyTorch CUDA code with Clang++ compiler.

A Cult AI Computer’s Boom and Bust:
I am aware that CUDA isn’t a language. But 🤷‍♂️

📺 https://www.youtube.com/watch?v=sV7C6Ezl35A

#video #yt #youtube #ai #boom #bust #it #ipl #aicomputing #history #aicult #aiboom #cuda #lisp #code

#cuda #gpu #ai

https://youtu.be/K9anz4aB0S0?si=gcrbDaSGF5V6gSq2

Ask HN: How to learn CUDA to professional level | Hacker News

Ask HN: How to learn CUDA to professional level

Discussion: https://news.ycombinator.com/item?id=44216123

#cuda

All You Need Is Binary Search! A Practical View on Lightweight Database Indexing on GPUs

#CUDA #Databases #Performance

https://hgpu.org/?p=29922

GPUMC: A Stateless Model Checker for GPU Weak Memory Concurrency

#OpenCL #CUDA #Concurrency #Memory #ModelCheck

https://hgpu.org/?p=29921

Bringing GPU-Level Performance to Enterprise Java: A Practical Guide to CUDA Integration

#cuda #gpu #java #performance

https://www.infoq.com/articles/cuda-integration-for-java/