How do you convert teraFLOPS to petaFLOPS?
The formula to convert Teraflop to Petaflop is 1 Teraflop = 0.001 Petaflop. Teraflop is 1000 times Smaller than Petaflop. Enter the value of Teraflop and hit Convert to get value in Petaflop.
What is a petaflop computing speed?
A 1 petaFLOPS (PFLOPS) computer system is capable of performing one quadrillion (1015) floating-point operations per second. The rate 1 PFLOPS is equivalent to 1,000 TFLOPS. To match what a 1 PFLOPS computer system can do in just one second, you’d have to perform one calculation every second for 31,688,765 years.
How many teraflops is the human brain?
100 teraflops
A human brain’s probable processing power is around 100 teraflops, roughly 100 trillion calculations per second, according to Hans Morvec, principal research scientist at the Robotics Institute of Carnegie Mellon University.
Is there a formula to convert teraflop to petaflops?
The formula to convert Teraflop to Petaflop is 1 Teraflop = 0.001 Petaflop. Teraflop is 1000 times Smaller than Petaflop. Enter the value of Teraflop and hit Convert to get value in Petaflop. Check our Teraflop to Petaflop converter.
What kind of processor is a teraflop?
With 18 cores and a price tag of $1,999, the processor is known as a teraflop chip, meaning it can accomplish a trillion computational operations every second. Called the Core i9 Extreme Edition processor, the chip is not for the average computer user, someone who just wants to check email, read the news, and watch “House of Cards.”
How many floating point operations in one teraflop?
One teraflop is a trillion floating-point operations every second. “There was a time, when if someone said ‘teraflop,’” says Brandon Lucia, an assistant professor of electrical and computer engineering at Carnegie Mellon University, “you would expect them to be talking about a supercomputer that had many, many processor chips.”
What are some of the applications of petaflop computing?
Petaflop computing will enable much more accurate modeling of complex systems. Applications are expected to include real-time nuclear magnetic resonance imaging during surgery, computer-based drug design, astrophysical simulation, the modeling of environmental pollution, and the study of long-term climate changes.
