The NVIDIA Tesla™ C2050 and C2070 Computing Processors fuel
the transition to parallel computing and bring the performance of
a small cluster to the desktop.
Based on the next-generation CUDA™ architecture codenamed “Fermi”, the 20-series family of Tesla GPUs support many “must have” features for technical and enterprise computing including C++ support, ECC memory for uncompromised accuracy and scalability, and a 7X increase in double precision performance compared Tesla 10-series GPUs. The Tesla C2050 and C2070 GPUs are designed to redefine high performance computing and make supercomputing available to everyone.
Compared to the latest quad-core CPUs, Tesla C2050 and C2070 Computing Processors deliver equivalent supercomputing performance at 1/10th the cost and 1/20th the power consumption.
the transition to parallel computing and bring the performance of
a small cluster to the desktop.
Based on the next-generation CUDA™ architecture codenamed “Fermi”, the 20-series family of Tesla GPUs support many “must have” features for technical and enterprise computing including C++ support, ECC memory for uncompromised accuracy and scalability, and a 7X increase in double precision performance compared Tesla 10-series GPUs. The Tesla C2050 and C2070 GPUs are designed to redefine high performance computing and make supercomputing available to everyone.
Compared to the latest quad-core CPUs, Tesla C2050 and C2070 Computing Processors deliver equivalent supercomputing performance at 1/10th the cost and 1/20th the power consumption.
GPUs powered by the Fermi -generation of the CUDA
architecture
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Delivers cluster performance at 1/10th the cost and 1/20th the
power of
CPU-only systems based on the latest
quad core CPUs.
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448 CUDA Cores
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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.
Single precision peak performance is
over a Teraflop per GPU.
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ECC Memory
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Meets a critical requirement for computing accuracy and
reliability for
workstations. 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.
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Desktop Cluster Performance
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Solves large-scale problems faster than a small server
cluster on a single
workstation with multiple GPUs.
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Up to 6GB of GDDR5 memory per GPU
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Maximizes performance and reduces data transfers by keeping
larger data sets in
local memory that is attached directly
to the GPU.
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NVIDIA Paralel Data Cache ™
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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.
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NVIDIA Giga Thread™ Engine
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Maximizes the throughput by faster context switching that is
10X faster than
previous architecture, concurrent kernel execution, and
improved thread block
scheduling.
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Asynchronous Transfer
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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.
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CUDA programing environment
with broad suport of programing
languages and APIs
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Choose C, C++, OpenCL, DirectCompute, or Fortran to express
application
parallelism and take advantage of the “Fermi” GPU’s
innovative architecture.
NVIDIA Parallel Nsight tool is available
for Microsoft Visual Studio developers.
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High Sped, PCIe Gen 2.0 Data
Transfer
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Maximizes bandwidth between the host system and the Tesla
processors.
Enables Tesla systems to work with virtually any
PCIe-compliant host system
with an open PCIe x16 slot.
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