A gigaflops (gflops) designates a unit of measure in computer science and represents a billion operations in floating comma per second (Floating point operations per second). Flops are a unit of measurement of the power calculation power, especially in scientific applications, automatic learning and supercomputers.
What are the flops and what are they used for?
A flop indicates how many floating commacks A computer can perform in a second. These floating comma operations are essential for many scientific and technical applications, as they allow treat both very large and very small numbers with great precision. They are particularly essential in fields such as physics, IT and machine learning.
Flops are crucial for applications that require Complex calculationsfor example in weather forecast, climate modeling, simulation of physical processes or in machine learning and artificial intelligence. Processors with higher flop performance can work more quickly and effectively in these areas.
To determine the performance in flops of a processor, reference tests specific are used. These tests evaluate how many operations in floating comma The system can perform in a second. Different types of calculations are often included to obtain a precise image of the real processor capabilities.
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How many flops correspond to a gflops?
The conversion of a gigaflops into flops is based on the decimal system and follows the rule of the powers of ten. A gflops corresponds exactly to 109 Flops, which means that a processor with a calculation power of 1 GFLOPS is capable of performing one billion (1,000,000) of operations in floating comma per second.
What are the other flop units?
In addition to gigaflops, there are other units that are useful for comparing the performance of CPUs or GPUs. You can convert them to GFLOPS by following the following formulas:
| Unit | Flops value | Conversion into gflops |
|---|---|---|
| Kiloflops | 103 Flops (1,000) | 10-6 Gflops |
| Megaflops | 106 Flops (1 million) | 10-3 Gflops |
| Gigaflops | 109 Flops (1 billion) | 1 Gflops |
| Teraflops | 1012 Flops (1 Billion) | 103 Gflops |
| Petaflops | 1015 Flops (1 Billiard) | 106 Gflops |
| Exaflops | 1018 Flops (1 trillion) | 109 Gflops |
What is the computing power in flops of modern computers and GPU?
The computing power of modern computers, in particular high performance GPUs, has made huge progress in recent years. Current graphics cards and supercalculators reach values ranging from several TFOPS to exaflops.
A concrete example is the Nvidia H100, a high performance GPU for AI and Data Centers applications. It reaches a peak power of about 989 Teraflops For Tensorcore FP32 calculations. Another model is the NVIDIA A30, mainly designed for high performance computing and IA inference. This GPU reaches a computing power of approximately 10.3 Teraflops For FP32 calculations.
In comparison, the fastest supercomputer in the world, such as the American « frontier », now achieve performance of more than 1 exaflops, allowing them to easily treat flop billions.
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