by Marco Chiappetta, HotHardware.com
At the Consumer Electronics Show, NVIDIA showed of a number of GF100 configurations, including single-card, and 2-way and 3-way SLI setups in demo systems. Each GF100 GPU features 512 CUDA cores, 16 geometry units, 4 raster units, 64 texture units, 48 ROPs, and a 384-bit GDDR5 memory interface. If you’re keeping count, the GT200 features 240 CUDA cores, 42 ROPs, and 60 texture units. The geometry and raster units, as they are implemented in GF100, are not in the GT200 GPU. The GT200 also features a wider 512-bit memory interface, but the need for such a wide interface is somewhat negated in GF100 in that the GPU uses GDDR5 memory which effectively offers double the bandwidth of GDDR3, clock for clock.
If we drill down a little deeper, each SM core in each GPC is comprised of 32 CUDA cores, with 48/16KB of shared memory (3 x that of GT200), 16/48KB of L1 (there is no L1 cache on GT200), 4 texture units, and 1 PolyMorph Engine. In addition to the actual units, we should point out that improvements have also been made over the previous generation for 32-bit integer operations performance and for full IEEE-754 2008 FMA support. The increase in cache size and the addition of L1 cache were designed to keep as much data on the GPU die as possible, without having to access memory.
