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High Level Synthesis Introduction To Chip And System Design

This paper presents an analog-digital hardware-software co-design environment for simulating and programming reconfigurable systems. The tool simulates, designs, as well as enables experimental measurements after compiling to configurable systems in the same integrated design tool framework. High level software in Scilab/Xcos (open-source programs similar to MATLAB/Simulink) that converts the high-level block description by the user to blif format (sci2blif), which acts as an input to the modified VPR tool, including the code v p r 2 s w c s , encoding the specific platform through specific architecture files, resulting in a targetable switch list on the resulting configurable analog–digital system. The resulting tool uses an analog and mixed-signal library of components, enabling users and future researchers access to the basic analog operations/computations that are possible.

An Open-Source Tool Set Enabling Analog-Digital-Software Co-Design

Large-scale field-programmable analog array (FPAA) devices could enable ubiquitous analog or mixed-signal low-power sensor to processing devices similar to the ubiquitous implementation of the existing field-programmable gate array (FPGA) devices. Design tools enable high-level synthesis to gate/transistor design targeting today’s FPGA devices and the opportunity for analog or mixed-signal applications with FPAA devices. This discussion will illustrate the FPAA concepts and FPAA history. The development of FPAAs enables the development of multiple potential metrics, and these metrics illustrate future FPAA device directions. The system-on-chip (SoC) FPAA devices illustrate the IC capabilities, computation, tools, and resulting hardware infrastructure. SoC FPAA device generation has enabled analog computing with levels of abstraction for application design.

Large-Scale Field-Programmable Analog Arrays

The focus of this work is to develop a starting framework for analog numerical analysis and related algorithm questions. Digital computation is enabled by a framework developed over the last 80 years. Having an analog framework enables wider capability while giving the designer tools to make reasonable choices. Analog numerical analysis concerns computation on physical structures utilizing the real-valued representations of that physical system. This work starts the conversation of analog numerical analysis, including exploring the relevancy and need for this framework. A complexity framework based on computational strengths and weaknesses builds from addressing analog and digital numerical precision, as well as addresses analog and digital error propagation due to computation. The complimentary analog and digital computational techniques enable wider computational capabilities.

https://www.mdpi.com/2079-9268/7/3/17/pdf

Starting Framework for Analog Numerical Analysis for Energy-Efficient Computing

Introduction to Reconfigurable High Performance Computing

This paper presents a novel framework for implementing portable and scalable data-intensive applications on reconfigurable hardware. Instead of using expensive “reconfigurable supercomputers”, we focus our work on standard PCs and PCI-Express extension cards featuring Field-Programmable Gate Arrays (FPGAs) and memory. In our framework, we exploit task-level parallelism by manually partitioning applications into several parallel tasks using a communication API for data streams. This also allows pure software implementations on PCs without FPGA cards. If an FPGA accelerator is present, the same API calls transfer data between the PC's CPU and the FPGA. Then, the tasks implemented in hardware can exploit instruction-level and pipelining parallelsims as well. Furthermore, the framework consists of hardware implementation rules which enable portable and scalable designs. Device specific hardware wrappers hide the FPGA's and board's idiosyncrasies from the application developer. We also present a new method to automatically select a task's optimal degree of parallelism on an FPGA for a given hardware platform, i. e. to generate a hardware design which uses the available communication bandwidth between the PC and the FPGA optimally. Experimental results show the feasibility of our approach.

Alexander Krieger

Papers

A framework for PC applications with portable and scalable FPGA accelerators

SAccO: An implementation platform for scalable FPGA accelerators