This paper presents the Neural Cache architecture, which re-purposes cache structures to
transform them into massively parallel compute units capable of running inferences for Deep …

Internet web browsing has reached a critical tipping point. Increasingly, users rely more on
mobile web browsers to access the Internet than desktop browsers. Meanwhile, webpages …

Finite State Automata are widely used to accelerate pattern matching in many emerging
application domains like DNA sequencing and XML parsing. Conventional CPUs and …

The global pool of data is growing at 2.5 quintillion bytes per day, with 90% of it produced in
the last two years alone [24]. There is no doubt the era of big data has arrived. This paper …

A finite-state machine (FSM) is an important abstraction for solving several problems,
including regular-expression matching, tokenizing text, and Huffman decoding. FSM …

Rapidly processing text data is critical for many technical and business applications.
Traditional software-based tools for processing large text corpora use memory bandwidth …

JavaScript Object Notation (JSON) and its variants have gained great popularity in recent
years. Unfortunately, the performance of their analytics is often dragged down by the …

This article presents REGISTOR, a platform for r egular e xpression g rabbing i nside stor
age. The main idea of Registor is accelerating regular expression (regex) search inside …

PHP is the dominant server-side scripting language used to implement dynamic web
content. Just-in-time compilation, as implemented in Facebook's state-of-the-art HipHopVM …

Finite state machines (FSMs) are basic computation models that play essential roles in many
applications. Enabling efficient parallel FSM execution is critical to the performance of these …