Product category:
Design and Development Hardware
News Release from: Nallatech
Edited by the Electronicstalk Editorial
Team on 19 April 2007
FPGA-based accelerators to boost Intel
servers
Nallatech is to develop socket-based accelerator modules that will support the Intel QuickAssist Technology accelerator strategy.
Nallatech has signed an agreement with Intel to develop socket-based accelerator modules which support the Intel QuickAssist Technology accelerator strategy Nallatech is working with Intel and Xilinx to develop and deliver FSB FPGA accelerator modules and design tools to the advanced server market during 2007
This article was originally published on Electronicstalk on 22 May 2006 at 8.00am (UK)
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As part of this relationship, Nallatech will deliver high level design tools conforming to the Intel QuickAssist Technology Accelerator Abstraction Layer (AAL) enabling support for ANSI C based third party tool flows from both existing and new partners.
"We are extremely excited about the engagement with Intel as it allows us to bring more than a decade of experience in FPGA computing and match it with the rapidly increasing demand for accelerated processing capabilities by customers in the advanced server market", said Craig Anderson, CEO of Nallatech.
"The flexibility and performance of FPGAs coupled with high speed direct access to the server processors allows users to significantly accelerate the performance of computationally intensive algorithms, thus reducing compute time and power consumption".
"Nallatech has extensive experience in building products that utilise FPGAs as accelerators and we are delighted to join with this industry innovator in developing solutions for Intel's industry-leading acceleration platforms", said Dr Dileep Bhandarkar, Director of Advanced Architectures for Intel Corporation.
"The combination of Nallatech's FPGA computing expertise with Intel's advanced server platforms, together with our shared cross market application knowledge, will create a powerful solution for addressing the most demanding computing problems".
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