Nvidia Mining Software' title='Nvidia Mining Software' />Bitcoin went through a boom period years ago that saw GPUs typically used for gaming put to work to mining. As more and more Bitcoins were successfully mined, the. CUDA FAQ NVIDIA Developer. Sections. General Questions. Q What is CUDA CUDA is a parallel computing platform and programming model that enables dramatic increases in computing performance by harnessing the power of the graphics processing unit GPU. Since its introduction in 2. CUDA has been widely deployed through thousands of applications and published research papers, and supported by an installed base of hundreds of millions of CUDA enabled GPUs in notebooks, workstations, compute clusters and supercomputers. Applications used in astronomy, biology, chemistry, physics, data mining, manufacturing, finance, and other computationally intense fields are increasing using CUDA to deliver the benefits of GPU acceleration. Q What is NVIDIA Tesla With the worlds first teraflop many core processor, NVIDIA Tesla computing solutions enable the necessary transition to energy efficient parallel computing power. With thousands of CUDA cores per processor, Tesla scales to solve the worlds most important computing challengesquickly and accurately. Q What is Open. ACC Open. ACC is an open industry standard for compiler directives or hints which can be inserted in code written in C or Fortran enabling the compiler to generate code which would run in parallel on multi CPU and GPU accelerated system. What is mining Ethereum, like all blockchain technologies, uses an incentivedriven model of security. Consensus is based on choosing the block with the highest. Open. ACC directives are easy and powerful way to leverage the power of GPU Computing while keeping your code compatible for non accelerated CPU only systems. Learn more at openacc. Q What kind of performance increase can I expect using GPU Computing over CPU only code This depends on how well the problem maps onto the architecture. For data parallel applications, accelerations of more than two orders of magnitude have been seen. Nvidia Mining Software' title='Nvidia Mining Software' />You can browse research, developer, applications and partners on our CUDA In Action Page. Q What operating systems does CUDA support CUDA supports Windows, Linux and Mac OS. For full list see the latest CUDA Toolkit  Release Notes. The latest version is available at http docs. Q Which GPUs support running CUDA accelerated applications CUDA is a standard feature in all NVIDIA Ge. Force, Quadro, and Tesla GPUs as well as NVIDIA GRID solutions. A full list can be found on the CUDA GPUs Page. Q What is the compute capability The compute capability of a GPU determines its general specifications and available features. For a details, see the Compute Capabilities section in the CUDA C Programming Guide. Q Where can I find a good introduction to parallel programming There are several university courses online, technical webinars, article series and also several excellent books on parallel computing. These can be found on our CUDA Education Page. Hardware and Architecture. Q Will I have to re write my CUDA Kernels when the next new GPU architecture is released No. CUDA CC provides an abstraction its a means for you to express how you want your program to execute. The compiler generates PTX code which is also not hardware specific. At run time the PTX is compiled for a specific target GPU this is the responsibility of the driver which is updated every time a new GPU is released. It is possible that changes in the number of registers or size of shared memory may open up the opportunity for further optimization but thats optional. So write your code now, and enjoy it running on future GPUs. Q Does CUDA support multiple graphics cards in one system Yes. Applications can distribute work across multiple GPUs. This is not done automatically, however, so the application has complete control. See the multi. GPU example in the GPU Computing SDK for an example of programming multiple GPUs. Q Where can I find more information on NVIDIA GPU architecture Two good places to start are Programming Questions. Q I think Ive found a bug in CUDA, how do I report it Sign up as a CUDA registered developer, once your application has been approved you can file bugs which will be reviewed by NVIDIA engineering. Your bug report should include a simple, self contained piece of code that demonstrates the bug, along with a description of the bug and the expected behavior. Please include the following information with your bug report. Machine configuration CPU, Motherboard, memory etc. Operating system. CUDA Toolkit version. Display driver version. For Linux users, please attach an nvidia bug report. Q How does CUDA structure computationCUDA broadly follows the data parallel model of computation. Typically each thread executes the same operation on different elements of the data in parallel. The data is split up into a 1. D,2. D or 3. D grid of blocks. Each block can be 1. Free Download 3D Maya Models Rig. D, 2. D or 3. D in shape, and can consist of  over 5. Threads within a thread block can cooperate via the shared memory. Thread blocks are executed as smaller groups of threads known as warps. Q Can the CPU and GPU run in parallelKernel invocation in CUDA is asynchronous, so the driver will return control to the application as soon as it has launched the kernel. The cuda. Thread. Synchronize API call should be used when measuring performance to ensure that all device operations have completed before stopping the timer. CUDA functions that perform memory copies and that control graphics interoperability are synchronous, and implicitly wait for all kernels to complete. Q Can I transfer data and run a kernel in parallel for streaming applicationsYes, CUDA supports overlapping GPU computation and data transfers using CUDA streams. See the Asynchronous Concurrent Execution section of the CUDA C Programming Guide for more details. Q Is it possible to DMA directly into GPU memory from another PCI E device GPUDirect allows you to DMA directly to GPU host memory. See the GPUDirect technology page for details. Q What are the peak transfer rates between the CPU and GPU The performance of memory transfers depends on many factors, including the size of the transfer and type of system motherboard used. On PCI Express 2. GBsec transfer rates. You can measure the bandwidth on your system using the bandwidthtest sample from the SDK. Transfers from page locked memory are faster because the GPU can DMA directly from this memory. However allocating too much page locked memory can significantly affect the overall performance of the system, so allocate it with care. Q What is the precision of mathematical operations in CUDA All the current range of NVIDIA GPUs and since GT2. See the programming guide for more details. All compute capable NVIDIA GPUs support 3. They follow the IEEE 7. Q Why are the results of my GPU computation slightly different from the CPU results There are many possible reasons. Floating point computations are not guaranteed to give identical results across any set of processor architectures. The order of operations will often be different when implementing algorithms in a data parallel way on the GPU. This is a very good reference on floating point arithmetic Precision Performance Floating Point and IEEE 7. Compliance for NVIDIA GPUs. Q Does CUDA support double precision arithmeticYes. GPUs with compute capability 1. Q How do I get double precision floating point to work in my kernel You need to add the switch arch sm1. See the Mandelbrot sample included in the CUDA Installer for an example of how to switch between different kernels based on the compute capability of the GPU. Q Can I read double precision floats from textureNVIDIA Pascal GPUs Enter The Cryptocurrency Ethereum Mining Craze. The cryptocurrency mining craze has once again reached new heights and theres a huge demand for GPUs in this segment. Latest details shared by Videocardz show that customized machines are being built to facilitate crypto miners using NVIDIAs Pascal GPU architecture. NVIDIA Pascal GPUs Enter The Crypto Mining Market Customized Mining Rig With Eight GP1. GPUs Detailed, Up To 2. MHs Rate in ETHThe mining craze has hit sky high after the recent surge in cryptocurrency prices. Entire supplies of AMDs Radeon RX 5. Over at Newegg, entire sections of RX 5. RX 5. 70 and RX 5. Out of Stock and those that are available in small quantities are listed with price tags that are way above the MSRP. With a low supply of AMD based GPUs, mining system builders are now equipping upcoming stations with NVIDIA Pascal based GPUs. The NVIDIA GP1. 06 1. GPU is powering the customized mining station. We posted a detailed article comparing modern graphics cards from AMD and NVIDIA, comparing their respective mining performance and total power draw. Anydvd Hd 7 0 9 0 Setup Key Time. Further reports suggest that while the AMD cards do deliver great mining performance, NVIDIAs cards such as the GTX 1. Its all about the overall returns in mining and power draw plays a huge role. Yesterday, Mitch Steeves, an RBC Capital Analyst compared the GTX 1. RX 5. 80 GPU mining performance and ended up with some surprising numbers. His testing concluded that the NVIDIA Ge. Force GTX 1. 07. 0 resulted in a lower running cost compared to RX 5. GPU efficiency. The testing saw up to 3. NVIDIA graphics card. The cost benefit of choosing the NVIDIA solution, when scaled at the datacenter level, Steves suggested would be even more apparent, noting, If we switch to building a full Data Center environment, electrical costs become increasingly more important Bitcoin environment and the older NVIDIA GPUs outperform AMD over the course of a year. Hothardware. Following are some mining performance metrics from both camps Radeon RX 5. MHs while drawing 1. Radeon RX 5. 70 overclocked 2. MHs while drawing 1. Radeon RX 5. 80 stock 2. MHs while drawing 1. Radeon RX 5. 80 overclocked 2. MHs while drawing 1. Ge. Force GTX 1. 07. FE 2. 2 MHs while drawing 1. Ge. Force GTX 1. 07. FE 2. 6 MHs while drawing 1. Ge. Force GTX 1. 07. FE 3. 2 MHs while drawing 1. NVIDIA Pascal GPU Based Cryptocurrency Mining Station Specifications. So coming back to the mining rig, the custom solution is aimed at Monero, ZCash and Ethereum miners. The solution packs a professional PCB design that is geared for mining and maximizes the efficiency and productivity of the mining process. We are looking at 8 NVIDIA Pascal GP1. GPUs that are termed as Mining Cards. The system user an Intel Celeron Mobile processor, 4 GB of DDR3 DRAM, a 6. GB m. SATA SSD and up to 1. W PSU. The PSU is not included in the package and listed as optional, allowing for buyers to select from different options as each digital currency has different power requirements. For Ethereum, a 1. W PSU is recommended and delivers around 2. MHs 5. For ZEC, PSU requirement of 1. W is recommended and delivers around 2. Sols 5. For XMR, a 7. W power requirement is listed and delivers around 4. Hs 5. A total of 7 six pin 1. V power connectors are required to run the machine. Eight additional 6 pin connectors are required to run the cards. The NVIDIA GP1. 06 1. GPUs used on this machine also utilize a custom design with max GPU and memory clock settings, large passive heatsinks and much lower power consumption compared to other solutions. The cards lack display connectivity so that is handled by the single HDMI output that runs on the Intel Celeron chip. The system is fully tuned for passive cooling on the GPUs while the enclosure makes use of 5 inflow and 4 outflow higher power system fans to keep the system up and running. This machine looks like one of several that we will be looking at in the upcoming months as AMD and NVIDIA are said to be preparing mining specific graphics cards.