A software development method and system having a suite of graphical customization tools that enables developers to rapidly configure all aspects of the underlying application software, including the look-and-feel, behavior, and workflow. This is accomplished without modifying application source code, base objects, or SQL. The sophisticated repository management capabilities of the method and system of our invention allows teams of developers to work efficiently on configuring applications. The application upgrader provides an automated process to upgrade the customizations to future product releases thus protecting the investment in customization. The ease, comprehensiveness, scalability, and upgradeability of the customization process help reduce the total lifecycle cost of customizing enterprise applications.

Development tool, method, and system for client server applications

Escalating system-on-chip design complexity is pushing the design community to raise the level of abstraction beyond register transfer level. Despite the unsuccessful adoptions of early generations of commercial high-level synthesis (HLS) systems, we believe that the tipping point for transitioning to HLS msystem-on-chip design complexityethodology is happening now, especially for field-programmable gate array (FPGA) designs. The latest generation of HLS tools has made significant progress in providing wide language coverage and robust compilation technology, platform-based modeling, advancement in core HLS algorithms, and a domain-specific approach. In this paper, we use AutoESL's AutoPilot HLS tool coupled with domain-specific system-level implementation platforms developed by Xilinx as an example to demonstrate the effectiveness of state-of-art C-to-FPGA synthesis solutions targeting multiple application domains. Complex industrial designs targeting Xilinx FPGAs are also presented as case studies, including comparison of HLS solutions versus optimized manual designs. In particular, the experiment on a sphere decoder shows that the HLS solution can achieve an 11-31% reduction in FPGA resource usage with improved design productivity compared to hand-coded design.

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High-Level Synthesis for FPGAs: From Prototyping to Deployment

This paper describes a learning-based approach to the acceleration of approximate programs. We describe the \emph{Parrot transformation}, a program transformation that selects and trains a neural network to mimic a region of imperative code. After the learning phase, the compiler replaces the original code with an invocation of a low-power accelerator called a \emph{neural processing unit} (NPU). The NPU is tightly coupled to the processor pipeline to accelerate small code regions. Since neural networks produce inherently approximate results, we define a programming model that allows programmers to identify approximable code regions -- code that can produce imprecise but acceptable results. Offloading approximable code regions to NPUs is faster and more energy efficient than executing the original code. For a set of diverse applications, NPU acceleration provides whole-application speedup of 2.3x and energy savings of 3.0x on average with quality loss of at most 9.6%.

/pdf/neural-acceleration-for-general-purpose-approximate-programs-chuxql7jbp.pdf

Neural Acceleration for General-Purpose Approximate Programs

In this paper, we introduce a new open source high-level synthesis tool called LegUp that allows software techniques to be used for hardware design LegUp accepts a standard C program as input and automatically compiles the program to a hybrid architecture containing an FPGA-based MIPS soft processor and custom hardware accelerators that communicate through a standard bus interface Results show that the tool produces hardware solutions of comparable quality to a commercial high-level synthesis tool

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LegUp: high-level synthesis for FPGA-based processor/accelerator systems

High-level synthesis (HLS) is increasingly popular for the design of high-performance and energy-efficient heterogeneous systems, shortening time-to-market and addressing today’s system complexity. HLS allows designers to work at a higher-level of abstraction by using a software program to specify the hardware functionality. Additionally, HLS is particularly interesting for designing field-programmable gate array circuits, where hardware implementations can be easily refined and replaced in the target device. Recent years have seen much activity in the HLS research community, with a plethora of HLS tool offerings, from both industry and academia. All these tools may have different input languages, perform different internal optimizations, and produce results of different quality, even for the very same input description. Hence, it is challenging to compare their performance and understand which is the best for the hardware to be implemented. We present a comprehensive analysis of recent HLS tools, as well as overview the areas of active interest in the HLS research community. We also present a first-published methodology to evaluate different HLS tools. We use our methodology to compare one commercial and three academic tools on a common set of C benchmarks, aiming at performing an in-depth evaluation in terms of performance and the use of resources.

/pdf/a-survey-and-evaluation-of-fpga-high-level-synthesis-tools-4pv9ke4ji3.pdf

A Survey and Evaluation of FPGA High-Level Synthesis Tools

A device independent, frequency driven layout system and method for field programmable gate arrays ("FPGA") which allow for a circuit designer to specify the desired operating frequencies of clock signals in a given design to the automatic layout system to generate, if possible, a physical FPGA layout which will allow the targeted FPGA device to operate at the specified frequencies. Actual net, path and skew requirements are automatically generated and fed to the place and route tools. The system and method of the present invention evaluates the frequency constraints, determines what delay ranges are acceptable for each electrical connection and targets those ranges throughout the layout.

Frequency driven layout system and method for field programmable gate arrays

The invention provides parametric modules called Self Implementing Modules (SIMs) for use in programmable logic devices such as FPGAS. The invention further provides tools and methods for generating and using SIMs. SIMs implement themselves at the time the design is elaborated, targeting a specified FPGA according to specified parameters. In one embodiment, a SIM references or includes one or more floorplanners each of which may employ one or more placement algorithms. Such placement algorithms might include, for example: a linear ordering algorithm that places datapath logic bitwise in a regular linear pattern; a rectangular mesh algorithm that implements memory in a grid pattern in distributed RAM; a columnar algorithm for counters and other arithmetic logic; or a simulated annealing algorithm for random logic such as control logic. Therefore, a design including more than one SIM can utilize a plurality of placement algorithms at the same or different levels of hierarchy. The design as a whole can therefore utilize a non-uniform global placement strategy.

Hetergeneous method for determining module placement in FPGAs

This poster describes CHiMPS, a toolflow that aims to provide software developers with a way to program hybrid CPU-FPGA platforms using familiar tools, languages, and techniques. CHiMPS starts with C and produces a specialized spatial dataflow architecture that supports coherent caches and the shared-memory programming model. The toolflow is designed to abstract away the complex details of data movement and separate memories on the hybrid platforms, as well as take advantage of memory management and computation techniques unique to reconfigurable hardware. This poster focuses on the memory design for CHiMPS, particularly the use of numerous small caches customized for various phases of program execution. The poster also addresses area vs. performance tradeoffs for various configurations. Applications compiled using CHiMPS show performance improvements of more than 36x on simple compute-intensive kernels, and 4.3x on the difficult-to-parallelize STSWM application without any special optimizations compared to running only on the CPU. The toolflow supports full ANSI-C, and produces hardware that runs on platforms that are expected to be available within one year

CHiMPS: a high-level compilation flow for hybrid CPU-FPGA architectures

A method and system for generating a programming bitstream for a programmable gate array. A programming bitstream for the programmable gate array is generated in response to an input design specification. The programming bitstream includes one or more unused segments, either interspersed through the bitstream or appended to the end of the bitstream, wherein an unused segment includes bits that are not used for programming the programmable gate array. One or more selected items of information are encoded to form binary representations of the items. The binary representations are inserted into one or more of the unused segments of the programming bitstream.

Method and system for generating a programming bitstream including identification bits

The invention provides parametric modules called Self Implementing Modules (SIMs) for use in programmable logic devices such as FPGAs. The invention further provides tools and methods for generating and using SIMs. SIMs implement themselves at the time the design is elaborated, targeting a specified FPGA according to specified parameters that may, for example, include the required timing, data width, number of taps for a FIR filter, and so forth. SIMs are called “self implementing” because they encapsulate much of their own implementation information, including mapping, placement, and (optionally) routing information. Therefore, implementing a SIM-based design is significantly faster than with traditional modules, since much of the implementation is already complete and incorporated in the SIM.

Eric F. Dellinger

Papers

Frequency driven layout system and method for field programmable gate arrays

Hetergeneous method for determining module placement in FPGAs

CHiMPS: a high-level compilation flow for hybrid CPU-FPGA architectures

Method and system for generating a programming bitstream including identification bits

Context-sensitive self implementing modules