Floating point operations per second
Thus the unit MIPS was useful to measure integer performance of any computer, including those without such a capability, and to account for architecture differences, similar MOPS (million operations per second) was used as early as 1970[4] as well.That's why MIPS as a performance benchmark is adequate when a computer is used in database queries, word processing, spreadsheets, or to run multiple virtual operating systems.[7] This was much better than using the prevalent MIPS to compare computers as this statistic usually had little bearing on the arithmetic capability of the machine on scientific tasks.FORTRAN compiler (ANSI 77 with vector extensions) In June 1997, Intel's ASCI Red was the world's first computer to achieve one teraFLOPS and beyond.[42] On October 25, 2007, NEC Corporation of Japan issued a press release announcing its SX series model SX-9,[43] claiming it to be the world's fastest vector supercomputer.In November 2008, an upgrade to the Cray Jaguar supercomputer at the Department of Energy's (DOE's) Oak Ridge National Laboratory (ORNL) raised the system's computing power to a peak 1.64 petaFLOPS, making Jaguar the world's first petaFLOPS system dedicated to open research.[49][50] As of 2010[update] the fastest PC processor reached 109 gigaFLOPS (Intel Core i7 980 XE)[51] in double precision calculations.On November 15, 2011, Intel demonstrated a single x86-based processor, code-named "Knights Corner", sustaining more than a teraFLOPS on a wide range of DGEMM operations.[56][57] On June 18, 2012, IBM's Sequoia supercomputer system, based at the U.S. Lawrence Livermore National Laboratory (LLNL), reached 16 petaFLOPS, setting the world record and claiming first place in the latest TOP500 list.[59][60] It was developed by Cray Inc. at the Oak Ridge National Laboratory and combines AMD Opteron processors with "Kepler" NVIDIA Tesla graphics processing unit (GPU) technologies.
Instructions per secondcomputer performancecomputingfloating-pointquettaFloating-point arithmeticreal numbersbase twobase tenexponentIEEE floating pointIBM Floating Point Architecturesignificandradix pointANSI/IEEE Std. 754-1985machine learningscientific computationDavid KucksupercomputerTOP500double-precision floating-point format32-bit16-bitInstruction set architectureIntel 80486PentiumPentium ProPentium IIPentium IIINetBurstPentium 4Pentium MPentium DPenrynNehalemWestmereBonnellSaltwellSilvermontGoldmontSandy BridgeIvy BridgeHaswellDevil's CanyonBroadwellSkylakeKaby LakeCoffee LakeComet LakeWhiskey LakeAmber LakeXeon PhiKnights CornerSkylake-XCascade LakeKnights LandingKnights MillIce LakeTiger LakeRocket LakeAVX-512BobcatJaguarSSE4/4aBulldozerPiledriverSteamrollerExcavatorFMA3/4NaplesARM Cortex-A53ARM Cortex-A76ARM Cortex-X1ExynosHitachi SH-4GeForce 6 seriesGeForce 7 seriesKeplerMaxwellPascalTuringAmpereAda LovelaceRadeon HD 4000 seriesRadeon HD 5000 seriesRadeon HD 6000 seriesGCN Vega 10GCN Vega 20RDNA 2AdrenoCDC 1604CDC 6600CDC 7600Cray-1CDC CyberFORTRANTransputerParallellaASCI Redvector processorMDGRAPE-3Top500.orgpipelinesIntel Corporationmulti-corePOLARISIBM Blue Gene/LCray XT4University of Texas at AustinRoadrunnergrid computersstate birdgreater roadrunnerRadeon R770Jaguar supercomputeropen researchKrakenTianhe-1processor980 XENvidia TeslaK computerSPARC64 VIIIfxprocessorsquadrillionIBM's Sequoia supercomputer system