OVERVIEW

Deep packet inspection (DPI) is an advanced method of examining and managing network traffic. It is a form of packet filtering that locates, identifies, classifies, reroutes, or blocks packets with specific data or code payloads that conventional packet filtering, which examines only packet headers, cannot detect.

DPI combines the functionality of an intrusion detection system (IDS) and an Intrusion prevention system (IPS) with a traditional stateful firewall. This combination makes it possible to detect certain attacks that neither the IDS/IPS nor the stateful firewall can catch on their own. Stateful firewalls, while able to see the beginning and end of a packet flow, cannot catch events on their own that would be out of bounds for a particular application. While IDSs can detect intrusions, they have a minimal capability in blocking such an attack. …


Introduction

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).

The key pain points in the computing industry

There is a new trend in the industry of high-performance computing: to utilize the heterogeneous system architectures consisting of CPU + GPU + FPGA. The CPU performs serial tasks, GPU — mathematical operations (mostly with large sets of matrices) and FPGA is for parallel computing such as for algorithmic operations, low latency math operations and for connectivity with the real world (e.g., …


INTRODUCTION

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. …


INTRODUCTION

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. …


Introduction

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).

The key pain points in the computing industry

There is a new trend in the industry of high-performance computing: to utilize the heterogeneous system architectures consisting of CPU + GPU + FPGA. The CPU performs serial tasks, GPU — mathematical operations (mostly with large sets of matrices) and FPGA is for parallel computing such as for algorithmic operations, low latency math operations and for connectivity with the real world (e.g., …

Artavazd Khachatryan

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