ZDNet

Nvidia GPUs for data science, analytics, and distributed machine learning using Python with Dask

Nvidia has been more than a hardware company for a long time. As its GPUs are broadly used to run machine learning workloads, machine learning has become a key priority for Nvidia. In its GTC event ...
insideHPC

Parallel Computing in Python: Current State and Recent Advances

In this video from EuroPython 2019, Pierre Glaser from INRIA presents: Parallel computing in Python: Current state and recent advances. Modern hardware is multi-core. It is crucial for Python to ...
TechCrunch

Anyscale, from the creators of the Ray-distributed computing project, launches with $20.6M led by a16z

Open source has become a critical building block of modern software, and today a new startup is coming out of stealth to capitalise on one of the newer frontiers in open source: using it to build and ...
CoinTelegraph

What are distributed systems, and how do they work?

What is a distributed system? A distributed system is a collection of independent computers that appear to the user as a single coherent system. To accomplish a common objective, the computers in a ...
Nasdaq

MicroAlgo Inc. Develops Multi-Simulator Collaborative Algorithm Based on Subgraph Isomorphism to Enhance Quantum Computer Performance Using Distributed Computing Advantages

SHENZHEN, China, March 17, 2025 /PRNewswire/ -- MicroAlgo Inc. (NASDAQ: MLGO), (the "Company"or "MicroAlgo"), today announced the introduction of an innovative solution: a multi-simulator ...
lse

Distributed Computing for Big Data

This course is available on the MPA in Data Science for Public Policy, MSc in Applied Social Data Science, MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Geographic Data ...