PNY NVIDIA Tesla C1060 GPU Computing Processor

Summary

The NVIDIA Tesla C1060 computing processor enables the transition to energy efficient parallel computing power by bringing the performance of a small cluster to a workstation. With 240 processor cores and a standard C compiler that simplifies application development, Tesla scales to solve the world’s most important computing challenges - more quickly and accurately. The NVIDIA Tesla C1060 closes the gap between the demands placed by application performance and performance delivered by the computing processor. With the massively parallel architecture of the GPU, scientists and engineers can get a quantum jump in performance and continue to advance the pace of their work, guiding us to faster discovery in drug research, weather modeling, oil and gas exploration, computational finance, and more. Scientists and engineers have made the transition to ‘many core’ computing because their problems have reached a complexity that required them to look for new ways to boost their work. With parallel performance from 240 cores, capable of concurrent execution of thousands of computing threads, these professionals can get accurate answers, faster. The number of processor cores has replaced MHz as the new metric for performance.

Description

Unlike any other solution available in the HPC space, the Tesla C1060 delivers cluster-level performance in a power-efficient workstation. This “high density computing” allows every technical professional to have a dedicated high-performance supercomputer at their desk-side instead of building up a small cluster in the data centre. This gives green-conscious organizations an excellent choice to achieve their desired level of computation without the build-up, management, and energy cost of a data centre. The CUDA C programming environment simplifies many-core programming and enhances performance by offloading computationally-intensive activities from the CPU to the GPU. It enables developers to utilize NVIDIA GPUs to solve the most complex computation-intensive challenges such as protein docking, molecular dynamics, financial analysis, fluid dynamics, structural analysis and many others. Revolutionary scalar, single, and double precision floating-point performance enables solving a wide range of high-performance computing applications, whose complexity has outstripped the CPU’s ability to solve them.

Features

1. 4GB Global memory
2. Shared data memory
3. Asynchronous transfer capability
4. High speed, PCI-Express Gen 2.0 data transfer
5. Tesla processors available in flexible form factor
6. IEEE 754 single and double precision floating point units
7. Massively parallel many core architecture with 240 processor cores
8. Widely accepted, Easy to learn CUDA C programming environment
9. Scale to multiple GPUS and harness the performance of thousands of processor cores

Specifications

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