Search results
Results from the WOW.Com Content Network
1.88×10 18: U.S. Summit achieves a peak throughput of this many operations per second, whilst analysing genomic data using a mixture of numerical precisions. [16] 2.43×10 18: Folding@home distributed computing system during COVID-19 pandemic response [17]
The RAD5545 processor employs four RAD5500 cores, achieving performance characteristics of up to 5.6 giga-operations per second (GOPS) and over 3.7 GFLOPS. [10] Power consumption is 20 watts with all peripherals operating.
Floating point operations per second (FLOPS, flops or flop/s) is a measure of computer performance in computing, useful in fields of scientific computations that require floating-point calculations. [1] For such cases, it is a more accurate measure than measuring instructions per second. [citation needed]
Instructions per second (IPS) is a measure of a computer's processor speed. For complex instruction set computers (CISCs), different instructions take different amounts of time, so the value measured depends on the instruction mix; even for comparing processors in the same family the IPS measurement can be problematic.
Several updated versions followed; the CM-5 supercomputer is a massively parallel processing computer capable of many billions of arithmetic operations per second. [ 27 ] In 1982, Osaka University 's LINKS-1 Computer Graphics System used a massively parallel processing architecture, with 514 microprocessors , including 257 Zilog Z8001 control ...
The Fujitsu FR-V VLIW/vector processor system on a chip in the 4 FR550 core variant released 2005 performs 51 Giga-OPS with 3 watts of power consumption resulting in 17 billion operations per watt-second. [4] [5] This is an improvement by over a trillion times in 54 years.
Petascale computing refers to computing systems capable of performing at least 1 quadrillion (10^15) floating-point operations per second (FLOPS).These systems are often called petaflops systems and represent a significant leap from traditional supercomputers in terms of raw performance, enabling them to handle vast datasets and complex computations.
The Whetstone benchmark is a synthetic benchmark for evaluating the performance of computers. [1] It was first written in ALGOL 60 in 1972 at the Technical Support Unit of the Department of Trade and Industry (later part of the Central Computer and Telecommunications Agency) in the United Kingdom.