Analysis on the Possibility of RISC-V Adoption

As the interface between hardware and software, Instruction Set Architectures (ISAs) play a key role in the operation of computers. While both hardware and software have continued to evolve rapidly over time, ISAs have undergone minimal change. Since its release in 2010, RISC-V has begun to erode the industry aversion to ISA innovation. Established on the principals of the Reduced Instruction Set Computer (RISC), and as an open source ISA, RISC-V offers many benefits over popular ISAs like Intel’s x86 and Arm Holding’s Advanced RISC Machine (ARM). In this literature review I evaluate the literature discussing: What makes changing Instruction Set Architectures difficultWhy might the industry choose to implement RISC-V When researching this topic I visited the IEEE (Institute of Electrical and Electronics Engineers), INSPEC (Engineering Village), and ACM (Association for Computing Machinery) Digital Library databases. I used the search terms, “RISC-V”, “Instruction Set Architecture”, “RISC-V” AND “x86”, and “RISC-V” AND “Instruction Set Architecture”. This literature review evaluates 10 papers on implementation of RISC-V. As this paper was intended to cover recent developments in the field, publication dates were limited to from 2015 to present

A case study for NoC based homogeneous MPSoC architectures

The many-core design paradigm requires flexible and modular hardware and software components to provide the required scalability to next-generation on-chip multiprocessor architectures. A multidisciplinary approach is necessary to consider all the interactions between the different components of the design. In this paper, a complete design methodology that tackles at once the aspects of system level modeling, hardware architecture, and programming model has been successfully used for the implementation of a multiprocessor network-on-chip (NoC)-based system, the NoCRay graphic accelerator. The design, based on 16 processors, after prototyping with field-programmable gate array (FPGA), has been laid out in 90-nm technology. Post-layout results show very low power, area, as well as 500 MHz of clock frequency. Results show that an array of small and simple processors outperform a single high-end general purpose processo

A Fast and Accurate Cost Model for FPGA Design Space Exploration in HPC Applications

Heterogeneous High-Performance Computing (HPC) platforms present a significant programming challenge, especially because the key users of HPC resources are scientists, not parallel programmers. We contend that compiler technology has to evolve to automatically create the best program variant by transforming a given original program. We have developed a novel methodology based on type transformations for generating correct-by-construction design variants, and an associated light-weight cost model for evaluating these variants for implementation on FPGAs. In this paper we present a key enabler of our approach, the cost model. We discuss how we are able to quickly derive accurate estimates of performance and resource-utilization from the design’s representation in our intermediate language. We show results confirming the accuracy of our cost model by testing it on three different scientific kernels. We conclude with a case-study that compares a solution generated by our framework with one from a conventional high-level synthesis tool, showing better performance and power-efficiency using our cost model based approach

Overview of Swallow --- A Scalable 480-core System for Investigating the Performance and Energy Efficiency of Many-core Applications and Operating Systems

We present Swallow, a scalable many-core architecture, with a current configuration of 480 x 32-bit processors. Swallow is an open-source architecture, designed from the ground up to deliver scalable increases in usable computational power to allow experimentation with many-core applications and the operating systems that support them. Scalability is enabled by the creation of a tile-able system with a low-latency interconnect, featuring an attractive communication-to-computation ratio and the use of a distributed memory configuration. We analyse the energy and computational and communication performances of Swallow. The system provides 240GIPS with each core consuming 71--193mW, dependent on workload. Power consumption per instruction is lower than almost all systems of comparable scale. We also show how the use of a distributed operating system (nOS) allows the easy creation of scalable software to exploit Swallow's potential. Finally, we show two use case studies: modelling neurons and the overlay of shared memory on a distributed memory system.Comment: An open source release of the Swallow system design and code will follow and references to these will be added at a later dat