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May, 18 Grovf GCache — Boost your Key-Value Store Performance to 20 mil query/s with a single FPGA chip Grovf GCache — Boost your Key-Value Store Performance to 20 mil query/s with a single FPGA chip

The emerging turnovers in the spheres of IoT and Big Data reshape the future of the database industry. With a view to efficiently store and retrieve cached data, Grovf offers an FPGA-based key-value store — Grovf GCache. The main goals of our design are to drastically boost database performance, minimize latency and power consumption.

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Feb, 04 100Gbps Network DPI, Content Extraction on Xilinx’s FPGA 100Gbps Network DPI, Content Extraction on Xilinx’s FPGA

With a growing speed of networks and an increasing number of Regular Expressions (RE), existing DPIs require more thorough solutions, namely hardware acceleration to process the traffic at the line speed. FPGAs can be quite promising devices in the sphere of DPIs and we use them at Grovf to provide direct interaction with the network traffic in chip and process it without the need of transferring the data to the software layer.

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Nov, 26 The Fastest PCRE Compatible Regular Expression IP Core on Xilinx® Alveo™ Accelerator Card The Fastest PCRE Compatible Regular Expression IP Core on Xilinx® Alveo™ Accelerator Card

Fast analysis of unstructured textual data, such as system logs, network traffic, social media posts, emails, or news articles, is growing ever more important in technical and business data analytics applications. Nearly 85% of business data is in the form of unstructured textual logs. Rapidly extracting information from these text sources is critical for business decision making.

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Nov, 26 Heterogeneous computing as a next- generation architecture for scaling data centers: trends, opportunities, solutions Heterogeneous computing as a next- generation architecture for scaling data centers: trends, opportunities, solutions

Nowadays computing systems used in data-centers face huge challenges which are exposed here. The heterogeneous computing units consisting of CPU and FPGA pairs may just be that winning platform, especially in database acceleration. In data centers, IP developed by Grovf scales computing units vertically (adding more computing power to an existing machine) while preserving their horizontal scaling property (adding more machines into your pool of resources).

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