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For decades, computing speeds seemingly doubled every 24 months by increasing the processor clock speed, thus giving software a “free ride” to better performance. This free ride, however, effectively ended by the mid-2000s. With clock speeds having plateaued and computational horsepower instead increasing due to increasing the number of cores per processor, the vision for parallel computing, which...
For decades, computing speeds seemingly doubled every 24 months by increasing the clock speed and giving software a "free ride" to better performance. This free ride, however, effectively ended by the mid-to-late 2000s. With clock speeds having plateaued and computational horsepower instead increasing due to increasing the number of cores per processor, the vision for parallel computing,...
With the majority of computing devices now featuring multiple computing cores, modern programmers need to be able to write programs that utilize these cores in parallel to extract the requisite levels of performance. Despite the need for such explicit parallel computing, few programmers are properly groomed in the mindset and the practices of parallel computing. Block-based programming languages,...
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