We present the Instruction Set Description Language, ISDL, a machine description language used to describe target architectures to a retargetable compiler. A retargetable compiler is capable of compiling application code into machine code for different processors. The features and flexibility of ISDL enable the description of vastly different architectures such as an ASIP VLIW processor and a commercial DSP microprocessor. For instance, unlike other machine description languages, ISDL explicitly supports constraints which define valid operation groupings within an instruction, increasing the range of specifiable architectures. We have written a tool which, given an ISDL description of a processor, can automatically generate an assembler for it. Ongoing work includes the development of an automatic code-generator generator. ISDL: An Instruction Set Description Language for Retargetability 2 DSP Core Program ROM RAM ASIC or ASIP Peripherals Figure 1: A heterogeneous system-on-a-chip 1...

The AVIV retargetable code generator produces optimized machine code for target processors with different instruction set architectures. AVIV optimizes for minimum code size. Retargetable code generation requires the development of heuristic algorithms for instruction selection, resource allocation, and scheduling. AVIV addresses these code generation subproblems concurrently, whereas most current code generation systems address them sequentially. It accomplishes this by converting the input application to a graphical (Split-Node DAG) representation that specifies all possible ways of implementing the application on the targetprocessor. The information embedded in this representation is then used to set up a heuristic branch-and-bound step that performs functional unit assignment, operation grouping, register bank allocation, and scheduling concurrently. While detailed register allocation is carried out as a second step, estimates of register requirements are generated during the fir...

We present a system that automatically generates a cycle-accurate and bit-true Instruction Level Simulator (ILS) and a hardware implementation model given a description of a target processor. An ILS can be used to obtain a cycle count for a given program running on the target architecture, while the cycle length, die size, and power consumption can be obtained from the hardware implementation model. These figures allow us to accurately and rapidly evaluate target architectures within an architecture exploration methodology for system-level synthesis.

This dissertation presents a set of techniques for representing the high-level behavior of a digital subsystem as a collection of nondeterministic finite automata, NFA. Desired behavioral and implementation dynamics: dependencies, repetition, bounded resources, sequential character, and control state, can also be similarly modeled. All possible system execution sequences, obeying imposed constraints, are encapsulated in a composed NFA. Technology similar to that used in symbolic model checking enables implicit exploration and extraction of best-possible execution sequences. This provides a very general, systematic procedure to perform exact high-level synthesis of cyclic, control-dominated behaviors constrained by arbitrary sequential constraints. This dissertation further demonstrates that these techniques are scalable to practical problem sizes and complexities. Exact scheduling solutions are constructed for a variety of academic and industrial problems, including a pipelined RISC processor. The ability to represent and schedule sequential models with hundreds of tasks and one-half million control cases substantially raises the bar as to what is believed possible for exact scheduling models. Keywords: Scheduling; Binary Decision Diagrams; High-Level Synthesis; Nondeterminism; Automata; Symbolic Model.

Embedded systems have an extremely short time to market and therefore require easily retargetable compilers. Architecture description languages (ADLs) provide a single concise architecture specification for the generation of hardware, instruction set simulators and compilers. In this article, we present an ADL for compiler generation. From a specification, we can derive an optimized tree pattern matching instruction selector, a register allocator and an instruction scheduler. Compared to a hand-crafted back end, the generated compiler produces smaller and faster code. The ADL is rich enough that other tools, such as assemblers, linkers, simulators and documentation, can all be obtained from a single specification.

We present a system that automatically generates a cycle-accurate and bit-true Instruction Level Simulator (ILS) and a hardware implementation model given a description of a target processor. An ILS can be used to obtain a cycle count for a given program running on the target architecture, while the cycle length, die size, and power consumption can be obtained from the hardware implementation model. These figures allow us to accurately and rapidly evaluate target architectures within an architecture exploration methodology for system-level synthesis.

Since software is playing an increasingly important role in systemon -chip, retargetable compilation has been an active research area in the last few years. However, the retargetting of equally important downstream system tools, such as assemblers, linkers and debuggers, has either been ignored, or falls short of meeting the requirements of modern programming languages and operating systems. In this paper, we present techniques that can automatically retarget the GNU binutils tool kit, which contains a large array of production-quality downstream tools. Other than having all the advantages enjoyed by open-source software by aligning to a de facto standard, our techniques are systematic, as a result of using a formal model of instruction set architecture (ISA) and application binary interface (ABI); and simple, as a result of leveraging free software to the largest extent.

Abstract—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 methodology 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. Index Terms—Domain-specific design, field-programmable gate array (FPGA), high-level synthesis (HLS), quality of results

Increasing importance of software in embedded systems led to the paradigm of hardware-software codesign, which advocates for early integration of hardware and software, even before the hardware design is complete. To support this paradigm a set of tools are needed that can simulate the build and execution environment of hardware. The approach is developed in our group where a high-level specication of hardware is written and from which the tools assembler, linker, compiler, simulator, high-level synthesizer etc. are generated automatically.

With increasing complexity of modern embedded systems, the availability of highly optimizing compilers becomes more and more important. At the same time, application specific instruction-set processors (ASIPs) are used to fine-tune hardware platforms to the intended application, demanding the availability of retargetable components throughout the whole tool chain. A very promising approach is to model the target architecture using a dedicated description language that is rich enough to generate hardware components and the required tool chain, e.g., assembler, linker, simulator, and compiler. In this work we present a new structural architecture description language (ADL) that is used to derive the architecture dependent components of a compiler backend — most notably an instruction selector based on tree pattern matching. We combine our backend with gcc, thereby opening up the way for a large number of readily available high level optimizations. Experimental results show that the automatically derived code generator is competitive in comparison to a handcrafted compiler backend.