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[TPU] NVIDIA GeForce Kepler Packs Radically Different Number Crunching Machinery

post #1 of 53
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Quote:
NVIDIA is bound to kickstart its competitive graphics processor lineup to AMD's Southern Islands Radeon HD 7000 series with GeForce Kepler 104 (GK104). We are learning through reliable sources that NVIDIA will implement a radically different design (by NVIDIA's standards anyway) for its CUDA core machinery, while retaining the basic hierarchy of components in its GPU similar to Fermi. The new design would ensure greater parallelism
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post #2 of 53
Interesting, doesnt sound like a bad thing
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post #3 of 53
Keep the news/rumors coming.

It gives me serenity in waiting. Just not the fan of AMD like I was 2 years ago.
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post #4 of 53
Kepler will dominate.... Then i can get my 7970 on the low smile.gif
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post #5 of 53
I would just love to see some serious numbers on Kepler. All this talk is making me feel like Pavlov's dog over here.
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post #6 of 53
Quote:
SIMD Hierarchy
4 Graphics Processing Clusters (GPC)
4 Streaming Multiprocessors (SM) per GPC = 16 SM
96 Stream Processors (SP) per SM = 1536 CUDA cores

TMU / Geometry Domain
8 Texture Units (TMU) per SM = 128 TMUs
32 Raster OPeration Units (ROPs)

Memory
256-bit wide GDDR5 memory interface
2048 MB (2 GB) memory amount standard

Clocks/Other
950 MHz core/CUDA core (no hot-clocks)
1250 MHz actual (5.00 GHz effective) memory, 160 GB/s memory bandwidth
2.9 TFLOP/s single-precision floating point compute power
486 GFLOP/s double-precision floating point compute power
Estimated die-area 340mm²


sooooo..................

what do these numbers mean to laymen like me
post #7 of 53
Quote:
Originally Posted by dantoddd View Post

Quote:
SIMD Hierarchy
4 Graphics Processing Clusters (GPC)
4 Streaming Multiprocessors (SM) per GPC = 16 SM
96 Stream Processors (SP) per SM = 1536 CUDA cores
TMU / Geometry Domain
8 Texture Units (TMU) per SM = 128 TMUs
32 Raster OPeration Units (ROPs)
Memory
256-bit wide GDDR5 memory interface
2048 MB (2 GB) memory amount standard
Clocks/Other
950 MHz core/CUDA core (no hot-clocks)
1250 MHz actual (5.00 GHz effective) memory, 160 GB/s memory bandwidth
2.9 TFLOP/s single-precision floating point compute power
486 GFLOP/s double-precision floating point compute power
Estimated die-area 340mm²
sooooo..................
what do these numbers mean to laymen like me

GK104 pushes much more pixels per clock than GF110. All computing logic function at the same clock (no 2x ROP clocks for the shaders anymore), so basically the shaders are more parallel oriented than pipelined vs. Fermi -- they probably took example of AMDs SP architecture.

This as a trade in effect vs the geometry performance and memory bandwidth. So GK104 will push 25% less polygones per clock than GF110 and has 33% smaller bus although the clocks are pushed somewhat higher. Also the clusters (SMs) are more crammed with logic units than GF110 -- much like GF104 vs GF100.

Aside from that it's a completely different architecture than Fermi so we have to wait and see how this actually performs in real world. Also they say nothing about the polymorphic engines (tessy units).
post #8 of 53
I liked what i was reading until i saw the part about ROP count. Then i RAGED and closed the page.
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post #9 of 53
Not to shabby Nvidia , not to shabby at all ............
Now lets see how it performs in the real world and the price tag ofcourse.
post #10 of 53
I have always preferred nvidia and cannot wait for the 79xx series to be again knock off its perch.
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