Nvidia TESLA C2075 - Features and Benefits of Tesla Companion Processors; CUDA Cores and Performance; ECC Memory for Reliability; Large On-GPU Memory

DRIVERS AND DOWNLOADS
> Tesla C2075 is supported under
- Linux 32-bit and 64-bit
- Windows XP, Windows Vista, Windows 7
(32-bit and 64-bit)
> Vertical Solutions and Software page:
www.nvidia.com/object/vertical_solutions.html
> Software for Tesla C2075
- Download latest driver at
www.nvidia.com/Download/index.aspx?lang=en-us
- Software development tools is available at
www.nvidia.com/object/tesla_software.html
FEATURES AND BENEFITS
448 CUDA CORES
Tesla C2075 delivers up to 515 Gigaflops of double-precision
peak performance in each GPU, enabling a single workstation
to deliver a Teraflop or more of performance.
ECC MEMORY
Meets a critical requirement for computing accuracy and reliability for worksta-
tions. Offers protection of data in memory to enhance data integrity and reliability
for applications. Register files, L1/L2 caches, shared memory, and DRAM all are
ECC protected.
UP TO 6GB OF GDDR5 MEMORY PER GPU
Maximizes performance and reduces data transfers by keeping larger data sets in
local memory that is attached directly to the GPU.
NVIDIA PARALLEL DATACACHE
™
Accelerates algorithms such as physics solvers, ray-tracing, and sparse matrix
multiplication where data addresses are not known beforehand. This includes
a configurable L1 cache per Streaming Multiprocessor block and a unified L2
cache for all of the processor cores.
NVIDIA GIGA THREAD
™
ENGINE
Maximizes the throughput by faster context switching that is 10X faster than
previous architecture, concurrent kernel execution, and improved thread block
scheduling.
DUAL COPY ENGINE ENABLES TRUE
ASYNCHRONOUS DATA TRANSFER
Turbocharges system performance by transferring data over the PCIe bus while
the computing cores are crunching other data. Even applications with heavy
data-transfer requirements, such as seismic processing, can maximize the
computing efficiency by transferring data to local memory before it is needed
CUDA PROGRAMMING ENVIRONMENT
WITH BROAD SUPPORT OF PROGRAMMING
LANGUAGES AND APIs
Choose C, C++, OpenCL, DirectCompute, or Fortran to express application
parallelism and take advantage of the “Fermi” GPU’s innovative architecture.
NVIDIA Parallel Nsight GPU debugging tool is available for Microsoft Visual
Studio developers.
HIGH SPEED, PCIe GEN 2.0
DATA TRANSFER
Maximizes bandwidth between the host system and the Tesla processors. En-
ables Tesla products to work with virtually any PCIe-compliant host system with
an open PCIe x16 slot.
To learn more about NVIDIA workstation solutions, go to www.nvidia.com/workstation
©2011 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA Tesla, CUDA, GigaThread, Parallel DataCache and Parallel NSight are
trademarksand/or registered trademarks of NVIDIA Corporation. All company and product names are trademarks or registered trademarks of the respective owners
with which they are associated. Features, pricing, availability, and specifications are all subject to change without notice.
SUPPORT
> HARDWARE SUPPORT
For RMA requests, replacements and warranty issues regarding your NVIDIA based product,
please contact the OEM or the reseller that you purchased it from.
> KNOWLEDGEBASE
Our knowledgebase is available online 24x7x365 and contains answers to the most common
questions and issues: http://nvidia.custhelp.com/app/answers/list
> USER FORUMS
Discuss Tesla products, talk about CUDA development, and share interesting issues, tips
and solutions with your fellow NVIDIA Tesla users on the CUDA discussion forums:
http://forums.nvidia.com/
> PREPURCHASING SUPPORT
Pre-purchasing support is available to assist you in deciding which Tesla unit to purchase for
your application: www.nvidia.com/object/tesla_assistance.html