Thirumurai, also known as Panniru Thirumurai, is a collection of Tamil Shaivite poems dating back to the Hindu revival period between the 6th and the 10th century. These poems are par excellence, in both literary and musical terms. They have been composed based on the ancient, now non-existent Tamil Pann system and can be set to music. We present a large dataset containing all the Thirumurai poems and also attempt to classify the Pann and author of each poem using transformer based architectures. Our work is the first of its kind in dealing with ancient Tamil text datasets, which are severely under-resourced. We explore several Deep Learning-based techniques for solving this challenge effectively and provide essential insights into the problem and how to address it.

The design of MultiProcessor Systems-on-Chip (MPSoC) emphasizes intellectual-property (IP)-based communication-centric approaches. Therefore, for the optimization of the MPSoC interconnect, the designer must develop traffic models that realistically capture the application behavior as executing on the IP core. In this paper, we introduce a Reactive IP Emulator (RIPE) that enables an effective emulation of the IP-core behavior in multiple environments, including bit- and cycle-true simulation. The RIPE is built as a multithreaded abstract instruction-set processor, and it can generate reactive traffic patterns. We compare the RIPE models with cycle-true functional simulation of complex application behavior (task-synchronization, multitasking, and input/output operations). Our results demonstrate high-accuracy and significant speedups. Furthermore, via a case study, we show the potential use of the RIPE in a design-space-exploration context.

For systems-on-chip (SoC) development, a predominant part of the design time is the simulation time. Performance evaluation and design space exploration of such systems in bit- and cycle-true fashion is becoming prohibitive. We propose a traffic generation (TG) model that provides a fast and effective network-on-chip (NoC) development and debugging environment. By capturing the type and the timestamp of communication events at the boundary of an IP core in a reference environment, the TG can subsequently emulate the core's communication behavior in different environments. Access patterns and resource contention in a system are dependent on the interconnect architecture, and our TG is designed to capture the resulting reactiveness. The regenerated traffic, which represents a realistic workload, can thus be used to undertake faster architectural exploration of interconnection alternatives, effectively decoupling simulation of IP cores and of interconnect fabrics. The results with the TG on an AMBA interconnect show a simulation time speedup above a factor of 2 over a complete system simulation, with close to 100 % accuracy.

Designing complex heterogeneous multiprocessor system-on-chip (MPSoC) requires support for modeling and analysis of the different layers i.e. application, operating system (OS) and platform architecture. This paper presents an abstract system-level modeling framework, called ARTS, to support the MPSoC designers in modeling the different layers and understanding their causalities. While others have developed tools for static analysis and modeled limited correlations (processor-memory or processor-communication), our model captures the impact of dynamic and unpredictable OS behavior on processor, memory and communication performance. In particular, we focus on analyzing the impact of application mapping on the processor and memory utilization taking the on-chip communication latency into account. A case-study of a real-time multimedia application consisting of 114 tasks on a 6-processor platform for a hand-held terminal shows our frameworks co-exploration capabilities.

With the increasing number of transistors available on a single chip, the system-on-chip (SoC) paradigm has evolved to exploit its full potential. As many processors can be accommodated on a single chip, this paradigm has forced a communication-centric, as opposed to a computation-centric, design view. Thus, the choice, management and modeling of the SoC interconnect is essential for an accurate evaluation and optimization of the global performance of a system. Recently, the notion of network-on-chip (NoC) has been introduced as a way to extend the classical bus-based interconnection, which is still the dominant interconnect structure for SoCs, into a dedicated, segmented and, possibly, packet-switched network fabric (Benini et al., 2002). In this paper, we present a NoC model which, together with a multiprocessor real-time operating system (RTOS) model, allows us to model and analyze the behavior of a complex system that has a real-time application running on a multiprocessor platform. We demonstrate the potential of our model by simulating and analyzing a small multiprocessor system connected through different NoC topologies, and discuss how the simulation model may be used during the design-space exploration phase.