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FPGAs are not just computational workhorses -- they are virtual laboratories for innovation -- a glimpse into our spatial and temporal computing future. No other technology allows you to break computations down into their underlying logical atoms so ...

Whilst Field-Programmable Gate Arrays (FPGAs) have been popular in accelerating high-frequency financial workload for many years, their application in quantitative finance, the utilisation of mathematical models to analyse financial markets and ...

Field-programmable gate arrays (FPGAs) provide opportunities for adopting cutting-edge microarchitectural technologies to accelerate emerging applications. However, it remains challenging to program FPGAs. On one hand, hardware description languages (...

Advancements in programmable packet processing technologies have fostered innovation across a range of networking applications. Integration of deep neural networks (DNN) in the network data plane, however, has remained largely unaddressed due to the high ...

Following the footsteps of the open-source software movement that is at the foundation of many fundamental infrastructures today, e.g., Linux, the internet, etc., a growing amount of open-source hardware initiatives have been impacting our field, e.g., ...

Commercial FPGAs from major vendors are extensively optimized, and fabrics use many hand-crafted custom cells, including switch matrix multiplexers and configuration memory cells. The physical design optimizations commonly improve area, latency (=speed),...

Image Registration is a highly compute-intensive optimization procedure that determines the geometric transformation to align a floating image to a reference one. Generally, the registration targets are images taken from different time instances, ...

With the rapid increase in cloud computing, concerns surrounding data privacy, security, and confidentiality also have been increased significantly. Not only cloud providers are susceptible to internal and external hacks, but also in some scenarios, ...

We present Fleet, a framework that offers a massively parallel streaming model for FPGAs and is effective in a number of domains well-suited for FPGA acceleration, including parsing, compression, and machine learning. Fleet requires the user to specify ...

Pattern matching, especially for complex patterns with many variations, is an important task in many big-data applications and maps well to finite automata. Recently, a variety of research has focused on hardware acceleration of automata processing, ...

FPGAs have been deployed in datacenters worldwide and are now available for use by in both public and private clouds. Enormous focus has been given to optimizing machine learning workloads for FPGAs, especially for deep neural networks (DNNs) in areas ...

The domain-specific language (DSL) for image processing, Halide, has generated a lot of interest because of its capability of decoupling algorithms from schedules that allow programmers to search for optimized mappings targeting CPU and GPU. ...

Embedded and cyber-physical systems are pervading all aspects of our lives, including sensitive and critical ones. As a result, they are an alluring target for cyber attacks. These systems, whose implementation is often based on reconfigurable hardware, ...

This work investigates if temperature can be used to fingerprint FPGA designs and presents a method to generate a large number of functionally equivalent FPGA designs such that each design has a unique distinguishable thermal signature. The main ...

Supercomputers play an important role in the field of computational science, and are used for a wide range of computationally intensive tasks in various fields. So far, the building blocks for supercomputers have been dominated by CPUs and GPUs. ...

In this work we present a heterogeneous deployment stack, calledGalapagos, that includes the abstraction of individual nodes (FPGAsand CPUs), the communication protocols between nodes and theorchestration and connection of these nodes into clusters. The ...

Searchable symmetric encryption (SSE) allows a client to outsource the storage of her data to an (untrusted) server in a private manner, while maintaining the ability to selectively search over it. A key feature of all existing SSE schemes is the ...

Placement is probably the most critical process in the FPGA design flow. The demand for high performance continues to increase, but existing placers are still faced with numerous challenges including very long runtime, poor scalability, and restricted ...

Serial equivalency can provide easier regression testing and customer support in production-grade CAD software. While existing parallel routing techniques have become sufficiently advanced to accelerate the execution time, support for serial equivalency ...

In this paper, we propose a new timing-driven detailed placement technique for FPGAs based on optimizing critical paths. Our approach extends well beyond the previously known critical path optimization approaches and explores a significantly larger ...