SIMD is a data system that has been around for quite a long time. Anyone who has been involved with data entry, of any kind, for a length of time has probably come into contact with this method of computation. SIMD stands for “single instruction, multiple data.” SIMD extensions started appearing in microprocessors with HP’s MAX2 and Sun’s VS extensions in 1994. Since then we have seen MMX, MVI, 3DNow!, MadMax, Streaming SIMD, AltiVec, and SPE. All of these extensions enable programmers to deliver higher microprocessor hardware utilization. The downside to this higher efficiency, however, is more complex software and additional training needed for those running it. Because of this, SIMD extensions are leveraged today primarily within application domains that require ultimate performance and can therefore compensate for the cost.
Who is Using SIMD?
Groups of programmers looking to increase their productivity and to streamline the implementation of data entry within company systems may find that using SIMD technology is an appropriate program plan to use. Utilizing SIMD allows for calculations to run quicker and to be completed in tandem with other tasks within a computer’s operating system. This feature makes productivity managers look to a fluency in SIMD programs as a valuable asset in current and potential employees.
What is SIMD?
SIMD is a data entry system that allows for more complex input of data into a single line of information. This technology system allows for a more optimal functioning of the paths of data in lines of code. Several of the key points to understanding SIMD technology are as follows:
- Traditional computations put just a single data element into a register. The amount of available space for these data elements may be irrelevant to the method of coding used.
- SIMD stands for Single Instruction, Multiple Data. A SIMD system packs multiple data elements into a single register and performs the same calculation on all of them at the same time. This multiple functionality of the software translates to more productivity for the programmers.
- SIMD is primarily a hardware register and datapath utilization optimization. The cost of this optimization is increased programming complexity.
- Computational accelerators move performance bottlenecks from the processor into the processor’s memory hierarchy.
- Optimizing data movement is often a better use of a programmer’s time than squeezing every possible cycle out of a SIMD computation.
- An illustration of the validity of SIMD data entry is seen below: