Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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- Although most of your programming courses have focused on writing sequential programs, using lots of parallelism is the way to faster execution. We talked about two different basic execution models that can support massively-parallel execution: MIMD and SIMD. One of the easiest ways to get some speedup by parallel processing is to simultaneously execute multiple copies of the same sequential program with different input data. For example, if you need to convert thousands of images from color to black & white, simultaneously running 32 copies of a sequential program that converts a single image at a time could easily get you nearly 32X speedup over running one copy of the program at a time to process each image. Is that type of parallel execution essentially MIMD, SIMD, or equally suited to both MIMD and SIMD? Why?arrow_forwardBecause of this, the means by which one instruction acquires its input data are independent of the means by which another acquires its data. When used with a(n): A Combining sets of data with sets of instructions B An example of "multiple data, multiple instruction" C D is for "data alone," meaning there is just one instruction. One order, several resultsarrow_forwardIn some instruction sets, call and return instructions make use of a RR register to hold the return address rather than doing so on the stack. Show how the code in the above problem should be changed if call and return instructions used a RR register for return addresses rather than the stack. Don't change the program's function. 500 MOV R1, X 501 MOV R2, Y 502 MOV R3, Z 503 PUSH R1 504 CALL 550 505 POP R3 506 CALL 560 507 HALT · · 550 PUSH R2 551 CALL 560 552 POP R2 553 RET · · 560 PUSH R3 561 PUSH R1 562 POP R2 563 POP R1 564 RETarrow_forward
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