TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #14920 · Jul 6
#rust#cuda#rust ZLUDA is a software that lets you run CUDA programs, originally made for NVIDIA GPUs, on AMD Radeon RX 5000 series and newer GPUs without changing the programs. It aims to give near-native performance on non-NVIDIA hardware, making CUDA applications more accessible. Currently, ZLUDA is still being developed and mainly supports Geekbench tests, so it might not work perfectly with all applications yet. It works on Windows and Linux but not on MacOS. If you have an AMD GPU and want to try running CUDA apps without an NVIDIA card, ZLUDA could be very useful as it opens up more hardware options for CUDA software[3][5]. https://github.com/vosen/ZLUDA
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@djangoproject · Post #574 · 02/25/2018, 02:34 PM
http://www.paulbrownmagic.com/blog/python_partial_application Python Partial: Code Your Intention Of all the functional programming inspired features in Python, partial application must be the best kept secret that you really need to know. Partial application lets you create highly abstract functions and make them more specific for use, pass a function arguments without calling it yet, and so much more. #tuple#sort
@djangoproject · Post #153 · 09/03/2016, 08:20 PM
http://wla.berkeley.edu/~cs61a/fa11/lectures/streams.html In this chapter, we continue our discussion of real-world applications by developing new tools to process #sequential#data. In Chapter 2, we introduced a sequence interface, implemented in Python by built-in data types such as #tuple and #list. #Sequences supported two operations: querying their length and accessing an element by index. In Chapter 3, we developed a user-defined implementations of the sequence interface, the Rlist class for representing recursive lists. These sequence types proved effective for representing and accessing a wide variety of sequential #datasets.