iXBT Labs - Computer Hardware in Detail






NVIDIA GeForce GTX 280 1024MB

Will it outperform 9800 GX2? (Updated: now also with synthetic test results.)

June 23, 2008

<< Previous page

     Next page >>


GT200 was designed for active usage in CUDA computations. In this mode, the new GPU can be treated as a programmable multiprocessor with 240 computing cores, built-in memory, support for random writing and reading, and one gigabyte of dedicated memory of high bandwidth. According to NVIDIA, GeForce GTX 280 turns a common PC into a small supercomputer in this mode, which provides almost a teraflop, which is quite handy for many scientific and application tasks.

Several key factors make GeForce GTX 200 an excellent parallel processor. First of all, it's CUDA. It's because software is always the most important part of parallel computations. And CUDA is a simple and powerful method to move CPU computations to a GPU. It's also important that GT200 was designed to be used for non-graphics computing, it has such features as shared memory and support for double-precision computing.

As a result, GeForce GTX 280 with its 240 cores operating at 1.3 GHz is one of the most powerful processors for floating-point computations. High memory bandwidth also comes in handy here, which is provided by the 512-bit memory exchange bus and fast GDDR3 video memory.

Quite a lot of the most difficult tasks can be moved from a CPU to a GPU with the help of CUDA. You can also raise performance by moving some computations to a GPU. This picture shows examples of using CUDA in real tasks, it publishes numbers that show multiplicity of GPU performance gains versus CPU.

You can see various tasks: re-encoding video data, molecular dynamics, astrophysics simulations, financial simulations, medical imaging, etc. Performance gains from moving computations to a GPU amount to 20-140-fold. Thus, the new GPU can accelerate many various algorithms, if they are moved to CUDA.

One of domestic usages of GPU computations is re-encoding video and encoding video data in corresponding applications. Elemental moved the encoding task to GPU in its RapidHD and obtained the following results:

GeForce GTX 280 performs brilliantly in this task, performance gains versus the fastest CPU amount to over 10 times. It takes 231 seconds to encode a 2-min video clip on a CPU and just 21 seconds on GT200. This GPU completes the task not just in real time, but even faster!

Another task, where you can get huge performance gains now, is Folding@Home - distributed computations of coagulation of protein molecules, which is used for better understanding of some diseases caused by bad proteins. GPUs compute such tasks tens or even hundreds of times faster than CPUs.

Simulation speed is measured in nanoseconds a day. Results show how many nanoseconds of protein life can be imitated for a day of PC computations. A CPU can simulate only 4 ns/day, PlayStation 3 - about 100 ns/day, GeForce GTX 280 can reach 590 ns/day. So it is over 100 times as fast as a CPU, and three times as fast as the top single-GPU solution from its competitor.

Another important factor for distributed computing is that there are over 70 million cards from NVIDIA with CUDA support all over the world with the average performance of 100 gigaflops each. And now imagine if at least 1% of these cards is used in Folding@Home, it will add 70 petaflops of potential performance to this project! GPU power reveals truly marvellous options...

We are planning to publish a separate article about CUDA to dwell on aspects of its usage and examples of real applications in various fields. One of examples of its usage, which will be useful for all users now, is GPU-assisted physics computing.

Write a comment below. No registration needed!

<< Previous page

Next page >>

blog comments powered by Disqus

  Most Popular Reviews More    RSS  

AMD Phenom II X4 955, Phenom II X4 960T, Phenom II X6 1075T, and Intel Pentium G2120, Core i3-3220, Core i5-3330 Processors

Comparing old, cheap solutions from AMD with new, budget offerings from Intel.
February 1, 2013 · Processor Roundups

Inno3D GeForce GTX 670 iChill, Inno3D GeForce GTX 660 Ti Graphics Cards

A couple of mid-range adapters with original cooling systems.
January 30, 2013 · Video cards: NVIDIA GPUs

Creative Sound Blaster X-Fi Surround 5.1

An external X-Fi solution in tests.
September 9, 2008 · Sound Cards

AMD FX-8350 Processor

The first worthwhile Piledriver CPU.
September 11, 2012 · Processors: AMD

Consumed Power, Energy Consumption: Ivy Bridge vs. Sandy Bridge

Trying out the new method.
September 18, 2012 · Processors: Intel
  Latest Reviews More    RSS  

i3DSpeed, September 2013

Retested all graphics cards with the new drivers.
Oct 18, 2013 · 3Digests

i3DSpeed, August 2013

Added new benchmarks: BioShock Infinite and Metro: Last Light.
Sep 06, 2013 · 3Digests

i3DSpeed, July 2013

Added the test results of NVIDIA GeForce GTX 760 and AMD Radeon HD 7730.
Aug 05, 2013 · 3Digests

Gainward GeForce GTX 650 Ti BOOST 2GB Golden Sample Graphics Card

An excellent hybrid of GeForce GTX 650 Ti and GeForce GTX 660.
Jun 24, 2013 · Video cards: NVIDIA GPUs

i3DSpeed, May 2013

Added the test results of NVIDIA GeForce GTX 770/780.
Jun 03, 2013 · 3Digests
  Latest News More    RSS  

Platform  ·  Video  ·  Multimedia  ·  Mobile  ·  Other  ||  About us & Privacy policy  ·  Twitter  ·  Facebook

Copyright © Byrds Research & Publishing, Ltd., 1997–2011. All rights reserved.