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Google DeepMind’s game-playing AI just found another way to make code faster - MIT Technology Review
The existing C++ algorithm for sorting a list of five items took around 6.91 nanoseconds on a typical Intel Skylake chip. AlphaDev’s took 2.01 nanoseconds, around 70% faster. ...
Overall, AlphaDev’s new C++ sorting algorithms are 1.7 percent more efficient than the prior methods when sorting long sequences of numbers, and up to 70 percent faster for five-item sequences.
Called SmartHLS, the tool allows C++ algorithms to be directly translated to FPGA-optimised RTL (register transfer level) code. It is based on the open-source Eclipse integrated development ...
An artificial intelligence (AI) system based on Google DeepMind’s AlphaZero AI created algorithms that, when translated into the standard programming language C++, can sort data up to three ...
In a recently published white paper, we examine how SLX FPGA is used to take a MATLAB Embedded Coder generated C/C++ algorithm, in this case a Kalman filter, and optimize the C/C++ code for HLS. In ...
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