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Jordi Altayó González

Publications and source records attributed to Jordi Altayó González.

2 recordsLinked to original sources

CIS: Composable Instruction Set for Data Streaming Applications

The enhanced efficiency of hardware accelerators, including Single Instruction Multiple Data (SIMD) architectures and Coarse-Grained Reconfigurable Architectures (CGRAs), is driving significant advancements in Artificial Intelligence and Machine Learning (AI/ML) applications. These applications frequently involve data streaming operations comprised of numerous vector calculations inherently amenable to parallelization. However, despite considerable progress in hardware accelerator design, their potential remains constrained by conventional instruction set architectures (ISAs). Traditional ISAs, primarily designed for microprocessors and accelerators, emphasize computation while often neglecting instruction composability and inter-instruction cooperation. This limitation results in rigid ISAs that are difficult to extend and suffer from large control overhead in their hardware implementations. To address this, we present a novel composable instruction set (CIS) architecture, designed with both spatial and temporal composability, making it well-suited for data streaming applications. The proposed CIS utilizes a small instruction set, yet efficiently implements complex, multi-level loop structures essential for accelerating data streaming workloads. Furthermore, CIS adopts a resource-centric approach, facilitating straightforward extension through the integration of new hardware resources, enabling the creation of custom, heterogeneous computing platforms. Our results comparing performance between the proposed CIS and other state-of-the-art ISAs demonstrate that a CIS-based architecture significantly outperforms existing solutions, achieving near-optimal processing element (PE) utilization.

cs.AR↗

Synthesis of Predictable Global NoC by Abutment in Synchoros VLSI Design

Synchoros VLSI design style has been proposed as an alternative to the standard cell best design style; the word synchoros is derived from the Greek word choros for space. Synchoricity discretises space with a virtual grid, the way synchronicity discretises time with clock ticks. SiLago (Silicon Lego) blocks are atomic synchoros building blocks like Lego bricks. SiLago blocks absorb all metal layer details, i.e., all wires, to enable composition by abutment of valid; valid in the sense of being technology design rules compliant, timing clean and OCV ruggedized. Effectively, composition by abutment eliminates logic and physical synthesis for the end user. Like Lego system, synchoricity does need a finite number of SiLago block types to cater to different types of designs. Global NoCs are important system level design components. In this paper, we show, how with a small library of SiLago blocks for global NoCs, it is possible to automatically synthesize arbitrary global NoCs of different types, dimensions, and topology. The synthesized global NoCs are not only valid VLSI designs, their cost metrics (area, latency, and energy) are known with post-layout accuracy in linear time. We argue that this is essential to be able to do chip-level design space exploration. We show how the abstract timing model of such global NoC SiLago blocks can be built and used to analyse the timing of global NoC links with post layout accuracy and in linear time. We validate this claim by subjecting the same VLSI designs of global NoC to commercial EDA's static timing analysis and show that the abstract timing analysis enabled by synchoros VLSI design gives same results as the commercial EDA tools.

cs.AR↗