25 bookmarks. First posted by fileformat 9 days ago.
We caught up with Gustafson at ISC19. For that particular crowd, the supercomputing set, one of the primary advantages of the posits format is that you can get more precision and dynamic range using less bits than IEEE 754 numbers. And not just a few less. Gustafson told us that a 32-bit posit can replace a 64-bit float in almost all cases, which would have profound implications for scientific computing. Cutting the number of bits in half not only reduces the amount of cache, memory and storage to hold these values, but also substantially reduces the bandwidth needed to shuffle these values to and from the processor. It’s the main reason why he thinks posit-based arithmetic would deliver a two-fold to four-fold speedup compared to IEEE floats.floatingpoint posits unum
6 days ago by euler
tagsalgorithm architecture bestpractices computer computers computerscience cpus development everynumber floating floatingpoint floats ieee ieee754 ifttt interesting machine_learning math mathematics performance pocket point posit posits programming research science technology twitter unum via:hackernews