NVIDIA Fermi Compute Architecture Whitepaper

NVidia has published a whitepaper of their upcoming Fermi (GT300) architecture detailing the new features and various case-study results.  The cliff-notes version:

• 32 CUDA Cores per Streaming Multiprocessor
• 8x double precision performance over GT200
• Unified Address Space with full C++ Support
• Full IEEE 754-2008 32-bit and 64-bit Precision
• Predication
• ECC Memory SUpport
• 10x faster context switching
• Out-of-Order thread block execution
• 3Billion Transistors
• 768K L2 Cache (didn’t exist in GT200)
• Up to 16 concurrent kernels (Didn’t exist in GT200)

Looks like Fermi is going to be an awesome processor to work with. Read the full report on their site.

NVIDIA_Fermi_Compute_Architecture_Whitepaper.pdf (application/pdf Object).

This story written by Randall Hand

Randall Hand is a visualization scientist working for a federal research lab, aiding researchers to discover the insights buried within their terabyte datasets generated on some of the most powerful supercomputers in the world. He also runs VizWorld.com .