Name: Abelardo Lopez-Lagunas
Type: User
Company: Latent AI
Bio: My interests include parallel architectures, HW acceleration for ML, VLSI design, stream computing, and parallel and high performance compilers.
Location: Princeton, NJ
Abelardo Lopez-Lagunas's Projects
Personal clone of archey-osx
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
List of papers studying machine learning through the lens of category theory
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.
Guidance on implementing cryptography as a developer.
CUDA Templates for Linear Algebra Subroutines
Ghidra is a software reverse engineering (SRE) framework
🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
Machine Learning Compiler course
MLX: An array framework for Apple silicon
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
A minimal GPU design in Verilog to learn how GPUs work from the ground up
Open deep learning compiler stack for cpu, gpu and specialized accelerators