Search results
Results from the WOW.Com Content Network
CUDA provides both a low level API (CUDA Driver API, non single-source) and a higher level API (CUDA Runtime API, single-source). The initial CUDA SDK was made public on 15 February 2007, for Microsoft Windows and Linux. Mac OS X support was later added in version 2.0, [17] which supersedes the beta released February 14, 2008. [18]
Mac OS X Jaguar (version 10.2) is the third major release of macOS, Apple's desktop and server operating system.It superseded Mac OS X 10.1 and preceded Mac OS X Panther.The operating system was released on August 23, 2002.
10.2 is the surround sound format developed by THX creator Tomlinson Holman of TMH Labs and the University of Southern California (schools of Cinematic Arts and Engineering). ). Developed along with Chris Kyriakakis of the USC Viterbi School of Engineering, 10.2 refers to the format's slogan: "Twice as good as 5
For most users, the most noticeable changes were: the disk space that the operating system frees up after a clean install compared to Mac OS X 10.5 Leopard, a more responsive Finder rewritten in Cocoa, faster Time Machine backups, more reliable and user-friendly disk ejects, a more powerful version of the Preview application, as well as a ...
CUDA SDK 12.0 support for Compute Capability 5.0 – 8.9 (Maxwell, Pascal, Volta, Turing, Ampere, Ada Lovelace) See also. Comparison of Nvidia graphics processing ...
The concept of a universal binary originated with "Multi-Architecture Binaries" in NeXTSTEP, the main architectural foundation of Mac OS X.NeXTSTEP supports universal binaries so that one executable image can run on multiple architectures, including Motorola's m68k, Intel's x86, Sun Microsystems's SPARC, and Hewlett-Packard's PA-RISC.
Mac OS X 10.1 (code named Puma) is the second major release of macOS, Apple's desktop and server operating system.It superseded Mac OS X 10.0 and preceded Mac OS X Jaguar.Mac OS X 10.1 was released on September 25, 2001, as a free update for Mac OS X 10.0 users.
The Tinker package is based on several related codes: (a) the canonical Tinker, version 8, (b) the Tinker9 package as a direct extension of canonical Tinker to GPU systems, (c) the Tinker-HP package for massively parallel MPI applications on hybrid CPU and GPU-based systems, (d) Tinker-FFE for visualization of Tinker calculations via a Java-based graphical interface, and (e) the Tinker-OpenMM ...