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System Name | RBMK-1000 |
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Processor | AMD Ryzen 7 5700G |
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Cooling | DeepCool Gammax L240 V2 |
Memory | 2x 8GB G.Skill Sniper X |
Video Card(s) | Palit GeForce RTX 2080 SUPER GameRock |
Storage | Western Digital Black NVMe 512GB |
Display(s) | BenQ 1440p 60 Hz 27-inch |
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Keyboard | Gamdias Hermes E2 |
Software | Windows 11 Pro |
In the tussle between its own CUDA GPGPU standard and the OpenCL, NVIDIA is making the right moves by offering its first drivers for OpenCL GPGPU acceleration. The drivers are available for Windows, Linux, and Mac. Any CUDA-capable NVIDIA GPU will be able to use these. The drivers can be downloaded from here, which provide compliance with OpenCL 1.0.
NVIDIA has also released the OpenCL Visual Profiler software that helps developers improve their code by recognizing possible bottlenecks and room for improvements. At a higher level, it profiles actual hardware signals, kernel efficiency, and instruction issue rate; memory latencies; auto-analysis to point of serialization problems, among other things. More information on this can be found here.
View at TechPowerUp Main Site
NVIDIA has also released the OpenCL Visual Profiler software that helps developers improve their code by recognizing possible bottlenecks and room for improvements. At a higher level, it profiles actual hardware signals, kernel efficiency, and instruction issue rate; memory latencies; auto-analysis to point of serialization problems, among other things. More information on this can be found here.
View at TechPowerUp Main Site