Insanityville

nVidia Tesla supercomputer

By in-sanity on May 13th, 2010

A few years back I was reading about the Roadrunner supercomputer but now it seems that we can buy our own supercomputer from nVidia. Pretty weird though because I always thought that IBM or Intel will be the first to make a supercomputer for the masses. Well, nVidia did it first.

Let’s see it’s specs (from the nVidia website).

Tesla Architecture

Massively-parallel many-core architecture
240 scalar processor cores per GPU
Integer, single-precision and double-precision floating point operations
Hardware Thread Execution Manager enables thousands of concurrent threads per GPU
Parallel shared memory enables processor cores to collaborate on shared information at local cache performance
Ultra-fast GPU memory access with 102 GB/s peak bandwidth per GPU
IEEE 754 single-precision and double-precision floating point
Each Tesla C1060 GPU delivers 933 GFlops Single Precision and 78 GFlops Double Precision performance

Software Development Tools

C language compiler, debugger, profiler, and emulation mode for debugging
Standard numerical libraries for FFT (Fast Fourier Transform), BLAS (Basic Linear Algebra Subroutines), and CuDPP (CUDA Data Parallel Primitives)

Product Details

3 or 4 Tesla C1060 Computing Processors with 4GB of dedicated memory per GPU
2.33 GHz+ Quad-core AMD Phenom or Opteron, — OR — Quad-core Intel Core 2 or Xeon
Minimum system memory: 12 GB for 3 Tesla C1060s and 16 GB for 4 Tesla C1060s (at least 4GB per Tesla C1060)
12GB+ system memory (at least 4GB per Tesla C1060)
1200-1350 Watt Power supply
Acoustics < 45dbA

Supported Platforms