A Field Programmable Gate Array Architecture for Two-Dimensional Partial Reconfiguration

Reconfigurable machines can accelerate many applications by adapting to their needs through hardware reconfiguration. Partial reconfiguration allows the reconfiguration of a portion of a chip while the rest of the chip is busy working on tasks. Operating system models have been proposed for partially reconfigurable machines to handle the scheduling and placement of tasks. They are called OS4RC in this dissertation. The main goal of this research is to address some problems that come from the gap between OS4RC and existing chip architectures and the gap between OS4RC models and practical applications. Some existing OS4RC models are based on an impractical assumption that there is no data exchange channel between IP (Intellectual Property) circuits residing on a Field Programmable Gate Array (FPGA) chip and between an IP circuit and FPGA I/O pins. For models that do not have such an assumption, their inter-IP communication channels have severe drawbacks. Those channels do not work well with 2-D partial reconfiguration. They are not suitable for intensive data stream processing. And frequently they are very complicated to design and very expensive. To address these problems, a new chip architecture that can better support inter-IP and IP-I/O communication is proposed and a corresponding OS4RC kernel is then specified. The proposed FPGA architecture is based on an array of clusters of configurable logic blocks, with each cluster serving as a partial reconfiguration unit, and a mesh of segmented buses that provides inter-IP and IP-I/O communication channels. The proposed OS4RC kernel takes care of the scheduling, placement, and routing of circuits under the constraints of the proposed architecture. Features of the new architecture in turns reduce the kernel execution times and enable the runtime scheduling, placement and routing. The area cost and the configuration memory size of the new chip architecture are calculated and analyzed. And the efficiency of the OS4RC kernel is evaluated via simulation using three different task models

Run-time management of many-core SoCs: A communication-centric approach

The single core performance hit the power and complexity limits in the beginning of this century, moving the industry towards the design of multi- and many-core system-on-chips (SoCs). The on-chip communication between the cores plays a criticalrole in the performance of these SoCs, with power dissipation, communication latency, scalability to many cores, and reliability against the transistor failures as the main design challenges. Accordingly, we dedicate this thesis to the communicationcentered management of the many-core SoCs, with the goal to advance the state-ofthe-art in addressing these challenges. To this end, we contribute to on-chip communication of many-core SoCs in three main directions. First, we start with a synthesizable SoC with full system simulation. We demonstrate the importance of the networking overhead in a practical system, and propose our sophisticated network interface (NI) that offloads the work from SW to HW. Our results show around 5x and up to 50x higher network performance, compared to previous works. As the second direction of this thesis, we study the significance of run-time application mapping. We demonstrate that contiguous application mapping not only improves the network latency (by 23%) and power dissipation (by 50%), but also improves the system throughput (by 3%) and quality-of-service (QoS) of soft real-time applications (up to 100x less deadline misses). Also our hierarchical run-time application mapping provides 99.41% successful mapping when up to 8 links are broken. As the final direction of the thesis, we propose a fault-tolerant routing algorithm, the maze-routing. It is the first-in-class algorithm that provides guaranteed delivery, a fully-distributed solution, low area overhead (by 16x), and instantaneous reconfiguration (vs. 40K cycles down time of previous works), all at the same time. Besides the individual goals of each contribution, when applicable, we ensure that our solutions scale to extreme network sizes like 12x12 and 16x16. This thesis concludes that the communication overhead and its optimization play a significant role in the performance of many-core SoC

A Finite Domain Constraint Approach for Placement and Routing of Coarse-Grained Reconfigurable Architectures

Scheduling, placement, and routing are important steps in Very Large Scale Integration (VLSI) design. Researchers have developed numerous techniques to solve placement and routing problems. As the complexity of Application Specific Integrated Circuits (ASICs) increased over the past decades, so did the demand for improved place and route techniques. The primary objective of these place and route approaches has typically been wirelength minimization due to its impact on signal delay and design performance. With the advent of Field Programmable Gate Arrays (FPGAs), the same place and route techniques were applied to FPGA-based design. However, traditional place and route techniques may not work for Coarse-Grained Reconfigurable Architectures (CGRAs), which are reconfigurable devices offering wider path widths than FPGAs and more flexibility than ASICs, due to the differences in architecture and routing network. Further, the routing network of several types of CGRAs, including the Field Programmable Object Array (FPOA), has deterministic timing as compared to the routing fabric of most ASICs and FPGAs reported in the literature. This necessitates a fresh look at alternative approaches to place and route designs. This dissertation presents a finite domain constraint-based, delay-aware placement and routing methodology targeting an FPOA. The proposed methodology takes advantage of the deterministic routing network of CGRAs to perform a delay aware placement

Parallel Query Processing on 2D Mesh and Linear Array Architectures

As the size of the web grows, it is necessary to parallelize the process of retrieving information from the web. Incorporating parallelism in search engines is one of the approaches towards achieving this aim. This paper presents an algorithm for query processing on the 2D mesh architecture and two algorithms for linear array architectures. We attempt to exploit the arrangement of processors and the communication pattern in both 2D mesh and linear array architectures to attain high speedup and efficiency for queries-keywords comparisons. A cost model is presented for each algorithm based on both processing and communication cost. Proposed algorithms are evaluated using speedup and efficiency performance metrics. For the same number of processors, 2D Mesh_QP outperforms both linear array algorithms (LA_QPAKP and LA_QPKE). Keywords: 2D Mesh, Linear Arrays, Parallel computing, Query processin

RMESH Algorithms for Parallel String Matching

String matching problem received much attention over the years due to its importance in various applications such as text/file comparison, DNA sequencing, search engines, and spelling correction. Especially with the introduction of search engines dealing with tremendous amount of textual information presented on the world wide web and the research on DNA sequencing, this problem deserves special attention and any algorithmic or hardware improvements to speed up the process will benefit these important applications. In this paper, we present three algorithms for string matching on reconfigurable mesh architectures. Given a text T of length n and a pattern P of length m, the first algorithm finds the exact matching between T and P in O(1) time on a 2-dimensional RMESH of size (n-m+1) * m. The second algorithm finds the approximate matching between T and P in O(k) time on a 2D RMESH, where k is the maximum edit distance between T and P. The third algorithm allows only the replacement operation in the calculation of the edit distance and finds an approximate matching between T and P in constant-time on a 3D RMESH

Architecture FPGA améliorée et flot de conception pour une reconfiguration matérielle en ligne efficace

The self-reconfiguration capabilities of modern FPGA architectures pave the way for dynamic applications able to adapt to transient events. The CAD flows of modern architectures are nowadays mature but limited by the constraints induced by the complexity of FPGA circuits. In this thesis, multiple contributions are developed to propose an FPGA architecture supporting the dynamic placement of hardware tasks. First, an intermediate representation of these tasks configuration data, independent from their final position, is presented. This representation allows to compress the task data up to 11x with regard to its conventional raw counterpart. An accompanying CAD flow, based on state-of-the-art tools, is proposed to generate relocatable tasks from a high-level description. Then, the online behavior of this mechanism is studied. Two algorithms allowing to decode and create in real-time the conventional bit-stream are described. In addition, an enhancement of the FPGA interconnection network is proposedto increase the placement flexibility of heterogeneous tasks, at the cost of a 10% increase in average of the critical path delay. Eventually, a configurable substitute to the configuration memory found in FPGAs is studied to ease their partial reconfiguration.Les capacités d'auto-reconfiguration des architectures FPGA modernes ouvrent la voie à des applications dynamiques capables d'adapter leur fonctionnement pour répondre à des évènements ponctuels. Les flots de reconfiguration des architectures commerciales sont aujourd'hui aboutis mais limités par des contraintes inhérentes à la complexité de ces circuits. Dans cette thèse, plusieurs contributions sont avancées afin de proposer une architecture FPGA reconfigurable permettant le placement dynamique de tâches matérielles. Dans un premier temps, une représentation intermédiaire des données de configuration de ces tâches, indépendante de leur positionnement final, est présentée. Cette représentation permet notamment d'atteindre des taux de compression allant jusqu'à 11x par rapport à la représentation brute d'une tâche. Un flot de conception basé sur des outils de l'état de l'art accompagne cette représentation et génère des tâches relogeables à partir d'une description haut-niveau. Ensuite, le comportement en ligne de ce mécanisme est étudié. Deux algorithmes permettant le décodage de ces tâches et la génération en temps-réel des données de configuration propres à l'architectures son décrits. Par ailleurs, une amélioration du réseau d'interconnexion d'une architecture FPGA est proposée pour accroître la flexibilité du placement de tâches hétérogènes, avec une augmentation de 10% en moyenne du délai du chemin critique. Enfin, une alternative programmable aux mémoires de configuration de ces circuits est étudiée pour faciliter leur reconfiguration partielle

Fault and Defect Tolerant Computer Architectures: Reliable Computing With Unreliable Devices

This research addresses design of a reliable computer from unreliable device technologies. A system architecture is developed for a fault and defect tolerant (FDT) computer. Trade-offs between different techniques are studied and yield and hardware cost models are developed. Fault and defect tolerant designs are created for the processor and the cache memory. Simulation results for the content-addressable memory (CAM)-based cache show 90% yield with device failure probabilities of 3 x 10(-6), three orders of magnitude better than non fault tolerant caches of the same size. The entire processor achieves 70% yield with device failure probabilities exceeding 10(-6). The required hardware redundancy is approximately 15 times that of a non-fault tolerant design. While larger than current FT designs, this architecture allows the use of devices much more likely to fail than silicon CMOS. As part of model development, an improved model is derived for NAND Multiplexing. The model is the first accurate model for small and medium amounts of redundancy. Previous models are extended to account for dependence between the inputs and produce more accurate results

A Hybrid Partially Reconfigurable Overlay Supporting Just-In-Time Assembly of Custom Accelerators on FPGAs

The state of the art in design and development flows for FPGAs are not sufficiently mature to allow programmers to implement their applications through traditional software development flows. The stipulation of synthesis as well as the requirement of background knowledge on the FPGAs\u27 low-level physical hardware structure are major challenges that prevent programmers from using FPGAs. The reconfigurable computing community is seeking solutions to raise the level of design abstraction at which programmers must operate, and move the synthesis process out of the programmers\u27 path through the use of overlays. A recent approach, Just-In-Time Assembly (JITA), was proposed that enables hardware accelerators to be assembled at runtime, all from within a traditional software compilation flow. The JITA approach presents a promising path to constructing hardware designs on FPGAs using pre-synthesized parallel programming patterns, but suffers from two major limitations. First, all variant programming patterns must be pre-synthesized. Second, conditional operations are not supported. In this thesis, I present a new reconfigurable overlay, URUK, that overcomes the two limitations imposed by the JITA approach. Similar to the original JITA approach, the proposed URUK overlay allows hardware accelerators to be constructed on FPGAs through software compilation flows. To this basic capability, URUK adds additional support to enable the assembly of presynthesized fine-grained computational operators to be assembled within the FPGA. This thesis provides analysis of URUK from three different perspectives; utilization, performance, and productivity. The analysis includes comparisons against High-Level Synthesis (HLS) and the state of the art approach to creating static overlays. The tradeoffs conclude that URUK can achieve approximately equivalent performance for algebra operations compared to HLS custom accelerators, which are designed with simple experience on FPGAs. Further, URUK shows a high degree of flexibility for runtime placement and routing of the primitive operations. The analysis shows how this flexibility can be leveraged to reduce communication overhead among tiles, compared to traditional static overlays. The results also show URUK can enable software programmers without any hardware skills to create hardware accelerators at productivity levels consistent with software development and compilation

The IPS fidelity scale as a guideline to implement Supported Employment

info:eu-repo/semantics/publishe