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nVidia GeForce GTX 760

Specifications

GPU: GK104
FLOPS: 2258 GFLOPS
Stream Processing Units: 1152
Core Clock: 980 MHz
Memory Clock: 1502 MHz
Effective Memory Clock: 6008 MHz
Memory Type: GDDR5
Amount of memory: 2048 MB
Memory Bandwidth: 192 GB/sec
Buswidth: 256 bit
Tech process: 28 nm
Interface: PCIe 3.0 x16
PS/VS version: 5.0/5.0
DirectX compliance: 11

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July 14, 2013 by hgpu · · >>>

nVidia GeForce GTX 690

Specifications

GPU: GK104
FLOPS: 2460 GFLOPS
Stream Processing Units: 1536 x2
Core Clock: 915 MHz
Memory Clock: 1502 MHz
Effective Memory Clock: 6008 MHz
Memory Type: GDDR5
Amount of memory: 2048 MB x2
Memory Bandwidth: 192 GB/sec x2
Buswidth: 256 bit x2
Tech process: 28 nm
Interface: PCIe 3.0 x16
PS/VS version: 5.0/5.0
DirectX compliance: 11

Based on gpureview.com data

July 14, 2013 by hgpu · · >>>

nVidia GeForce GTX 680

Specifications

GPU: GK104
FLOPS: 2460 GFLOPS
Stream Processing Units: 1536
Core Clock: 1006 MHz
Memory Clock: 1502 MHz
Effective Memory Clock: 6008 MHz
Memory Type: GDDR5
Amount of memory: 2048 MB
Memory Bandwidth: 192 GB/sec
Buswidth: 256 bit
Tech process: 28 nm
Interface: PCIe 3.0 x16
PS/VS version: 5.0/5.0
DirectX compliance: 11

Based on gpureview.com data

July 14, 2013 by hgpu · · >>>

nVidia GeForce GTX 670

Specifications

GPU: GK104
FLOPS: 2460 GFLOPS
Stream Processing Units: 1344
Core Clock: 915 MHz
Memory Clock: 1502 MHz
Effective Memory Clock: 6008 MHz
Memory Type: GDDR5
Amount of memory: 2048 MB
Memory Bandwidth: 192 GB/sec
Buswidth: 256 bit
Tech process: 28 nm
Interface: PCIe 3.0 x16
PS/VS version: 5.0/5.0
DirectX compliance: 11

Retail Cards Based On This Board

Based on gpureview.com data

July 14, 2013 by hgpu · · >>>

nVidia GeForce GTX 660 Ti

Specifications

GPU: GK104
FLOPS: 2460 GFLOPS
Stream Processing Units: 1344
Core Clock: 915 MHz
Memory Clock: 1502 MHz
Effective Memory Clock: 6008 MHz
Memory Type: GDDR5
Amount of memory: 2048 MB
Memory Bandwidth: 144 GB/sec
Buswidth: 192 bit
Tech process: 28 nm
Interface: PCIe 3.0 x16
PS/VS version: 5.0/5.0
DirectX compliance: 11

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July 14, 2013 by hgpu · · >>>

nVidia GeForce GTX 660

Specifications

GPU: GK106
FLOPS: 1881.6 GFLOPS
Stream Processing Units: 768
Core Clock: 980 MHz
Memory Clock: 1502 MHz
Effective Memory Clock: 6008 MHz
Memory Type: GDDR5
Amount of memory: 2048 MB
Memory Bandwidth: 144 GB/sec
Buswidth: 192 bit
Tech process: 28 nm
Interface: PCIe 3.0 x16
PS/VS version: 5.0/5.0
DirectX compliance: 11

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July 14, 2013 by hgpu · · >>>

nVidia GeForce GTX 650

Specifications

GPU: GK107
FLOPS: 812.5 GFLOPS
Stream Processing Units: 384
Core Clock: 1058 MHz MHz
Memory Clock: 1250 MHz
Effective Memory Clock: 5000 MHz
Memory Type: GDDR5
Amount of memory: 1024 MB
Memory Bandwidth: 80.0 GB/sec
Buswidth: 128 bit
Tech process: 28 nm
Interface: PCIe 3.0 x16
PS/VS version: 5.0/5.0
DirectX compliance: 11

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July 14, 2013 by hgpu · · >>>

nVidia GeForce GTX 650 Ti BOOST

Specifications

GPU: GK106
FLOPS: 1505 GFLOPS
Stream Processing Units: 768
Core Clock: 980/1033 MHz
Memory Clock: 1502 MHz
Effective Memory Clock: 6008 MHz
Memory Type: GDDR5
Amount of memory: 2048 MB
Memory Bandwidth: 144 GB/sec
Buswidth: 192 bit
Tech process: 28 nm
Interface: PCIe 3.0 x16
PS/VS version: 5.0/5.0
DirectX compliance: 11

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July 14, 2013 by hgpu · · >>>

nVidia GeForce GTX 650 Ti

Specifications

GPU: GK106
FLOPS: 1425.408 GFLOPS
Stream Processing Units: 768
Core Clock: 928 MHz MHz
Memory Clock: 1350 MHz
Effective Memory Clock: 5400 MHz
Memory Type: GDDR5
Amount of memory: 1024 MB
Memory Bandwidth: 80.0 GB/sec
Buswidth: 128 bit
Tech process: 28 nm
Interface: PCIe 3.0 x16
PS/VS version: 5.0/5.0
DirectX compliance: 11

Based on gpureview.com data

July 14, 2013 by hgpu · · >>>

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

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SW#SYCL

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tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

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