Julia Computing and NVIDIA Announce Julia GPU Computing for Arm
CAMBRIDGE, Mass., Dec. 12, 2019 -- Julia Computing and NVIDIA have brought Julia to NVIDIA’s new line of GPU-accelerated Arm servers.
According to a recent Julia user survey, more than 80% of Julia users who use hardware accelerators use NVIDIA GPUs.
As Julia Computing CEO Viral Shah explains, “Julia’s ease of use paves the way for effortless exascale computing. Julia GPU computing with NVIDIA Arm servers is the fastest and easiest way to build and deploy lightning fast applications.”
More information is available via the NVIDIA Developer Blog (High-Performance GPU Computing in the Julia Programming Language) and the Julia Computing Blog (Julia Computing and NVIDIA Bring Julia GPU Computing to Arm).
About Julia and Julia Computing
Julia is the fastest high-performance open source computing language for data, analytics, algorithmic trading, machine learning, artificial intelligence, and other scientific and numeric computing applications. Julia solves the two language problem by combining the ease of use of Python and R with the speed of C++. Julia provides parallel computing capabilities out of the box and unlimited scalability with minimal effort. Julia has been downloaded more than 11 million times and is used at more than 1,500 universities. Julia co-creators are the winners of the 2019 James H. Wilkinson Prize for Numerical Software and the 2019 Sidney Fernbach Award. Julia has run at petascale on 650,000 cores with 1.3 million threads to analyze over 56 terabytes of data using Cori, one of the ten largest and most powerful supercomputers in the world. Julia Computing was founded in 2015 by all the creators of Julia to provide products including JuliaTeam, JuliaSure and JuliaRun to businesses and researchers using Julia.
Source: Julia Computing
