Relazione sul progetto di realizzazione di un algoritmo di localizzazione (mediante trilaterazione) attraverso l'utilizzo del controllore cRIO e del software LabVIEW.
Relazione sul progetto di realizzazione di un algoritmo di localizzazione (mediante trilaterazione) attraverso l'utilizzo del controllore cRIO e del software LabVIEW.
Relazione sul progetto di realizzazione di un algoritmo di localizzazione (mediante trilaterazione) attraverso l'utilizzo del controllore cRIO e del software LabVIEW.
Relazione sul progetto di realizzazione di un algoritmo di localizzazione (mediante trilaterazione) attraverso l'utilizzo del controllore cRIO e del software LabVIEW.
CodingGym - Lezione 2 - Corso Linux, Android e Internet of ThingsMirko Mancin
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Corso frontale di 20 ore indirizzato a docenti di scuole superiori nel settore ICT. Il corso vuole essere una palestra (per questo CodingGym) di rafforzamento delle basi già esistenti e di supporto per corsi futuri. Queste slide sono rilasciate con la licenza Creative Commons e quindi potete scaricarle ed utilizzarle a vostro piacere. Ricordate però di CITARMI! :D
1. The document discusses Diopsis940, a microcontroller product from Atmel that features an ARM9 processor and floating point DSP for consumer applications.
2. It provides details on target applications including hands-free phones, high-end car audio, and sound processors. The microcontroller supports complex audio processing algorithms.
3. hArtes, an Atmel division, aims to reduce application development time through tools that streamline the process from conceptual design to implementation using their microcontroller products.
The document proposes a coarse-grain reconfigurable array (CGRA) for accelerating digital signal processing. The CGRA aims to provide an intermediate tradeoff between flexibility and performance compared to FPGAs and ASICs. It consists of an array of processing elements and distributed memory interconnected via programmable switches. Evaluation shows the CGRA achieves 4.8-8X speedup, 24-58% improved energy efficiency, and up to 40% reduced area compared to a Xilinx Virtex-4 FPGA for applications like color space conversion, FIR filtering, and DCT.
This document discusses Altera's FPGA strategy for reconfigurable hardware in industry applications. It defines reconfigurable hardware as an architecture that does not require on-the-fly timing analysis because product qualification is extensively done through temperature and cycle testing without hardware architecture changes. It then shows how programmable solutions have evolved from single CPU and DSP cores to multi-core processors and coarse-grained arrays with FPGAs moving to fine-grained, massively parallel arrays with embedded hard IP blocks. Future trends include challenges of scaling CPUs due to physical limits and the benefits of parallelism through hardware reconfiguration.
The document describes processes in VHDL. It defines a process as a concurrent statement that contains sequential logic. Processes run in parallel and can be conditioned by a sensitivity list or wait statement. Local variables retain their values between executions. It provides an example of a process with a sensitivity list and one with a wait statement. It also summarizes the general structure of a VHDL program and describes different types of process control including if-then-else, case statements, and decoders. Additional topics covered include flip-flops, counters, and finite state machines.
The document discusses requirements for enabling self-adaptivity at both the software and hardware levels. It proposes a layered model with controllers at the application, run-time environment, and hardware levels. A component-based approach is suggested to allow adaptations such as replacing or modifying components. Simulation results demonstrate how controllers at each level can coordinate to meet goals like high throughput while minimizing power usage. Reconfigurable computing platforms need to allow hardware components to be instantiated and interconnected to enable self-adaptation across software and hardware.
The document summarizes research on task scheduling techniques for dynamically reconfigurable systems. It presents (1) an integer linear programming model to formally define the scheduling problem, (2) the Napoleon heuristic scheduler to solve the problem in reasonable time based on the ILP model, and (3) experimental results validating that Napoleon obtains an average 18.6% better schedule length than other algorithms. Future work is outlined to integrate Napoleon into a general design framework and scheduling-aware partitioning flow.
The document summarizes key topics in reconfigurable computing, including motivations for reconfigurable systems, types of flexibility they provide, and challenges in reconfiguration. It discusses design flows to reduce complexity, maximizing reuse of reconfigurable modules to reduce latency, hiding reconfiguration times, and using relocation to further optimize schedules. Areas of reconfiguration and possible implementation scenarios involving relocation are illustrated.
The document discusses an approach for identifying cores for reconfigurable systems driven by specification self-similarity. It involves partitioning a specification graph into subsets of operations that can be mapped to reusable configurable modules. The approach identifies recurrent subgraphs in the specification that are good candidates for these cores. It works in two phases: first identifying isomorphic subgraph templates, and then selecting templates for implementation as reconfigurable modules based on metrics like largest size, most frequent usage, or minimizing communication. Experimental results on encryption benchmarks show the approach can cover a large portion of the specification with a small set of identified templates.
This document summarizes techniques for core allocation and relocation management in self-dynamically reconfigurable architectures. It introduces basic concepts like cores, IP cores, and reconfigurable regions. It then describes proposed 1D and 2D relocation solutions like BiRF and BiRF Square that allow runtime relocation with low overhead. A core allocation manager is introduced to choose core placements optimizing criteria like rejection rate and completion time with low management costs. Evaluation shows the techniques improve metrics like rejection rate and routing costs compared to other approaches.
The document discusses an hardware application platform developed for the hArtes project. It provides heterogeneous computing resources like DSPs, CPUs and FPGAs. Demonstrator applications focus on advanced audio processing for car infotainment and teleconferencing. The platform supports these applications by integrating different components, scaling computational power, and accommodating future additions. It also provides adequate I/O channels for audio signal processing.
The document describes the Janus system, an FPGA-based approach for simulating spin glass systems using Monte Carlo algorithms. The key aspects are:
1) Spin glass systems are computationally challenging to simulate due to the huge number of possible configurations.
2) The Janus system uses FPGAs to implement a large number of parallel update engines that can flip spins and accept/reject changes according to a Metropolis algorithm.
3) Each FPGA processor grid contains 4x4 processors that can communicate with neighbors. This allows simulations to be massively parallelized across the FPGA network.
The document outlines the agenda for the Reconfigurable Computing Italian Meeting held on December 19, 2008 at Politecnico di Milano in Milan, Italy. The agenda included four sessions on trends in reconfigurable computing, the hArtes European project, applicative scenarios, and the High Level Reconfiguration project. Each session included 3-4 presentations on technical topics within the session theme, such as FPGA strategies, multi-core signal processing, evolvable hardware, and runtime core relocation management. The meeting concluded with wishes for a merry Christmas and a happy new year.
This document provides an overview of architectural description languages (ADLs). It discusses that ADLs capture the structure and behavior of processor architectures to enable high-level modeling, analysis, and automatic prototype generation. ADLs can be classified as structural, behavioral, or mixed. Structural ADLs focus on low-level hardware details while behavioral ADLs model instruction sets for compiler generation. The document outlines different ADL types and their applications.
The document discusses design flows for partially reconfigurable systems on FPGAs. It provides an overview of Xilinx FPGA technology and configuration memory organization. It then summarizes several of Xilinx's design flows for partial reconfiguration (difference-based, module-based, EAPR). It outlines challenges with existing design flows and introduces the DRESD methodology and tools (INCA, Caronte) which aim to address these challenges by providing a more comprehensive framework for implementing dynamic reconfigurable embedded systems.
The document discusses some real needs for and limits of reconfigurable computing systems. It describes how partial dynamic reconfiguration can provide flexibility and enhance performance but introduces drawbacks. Simulation and verification tools are needed to design such systems. Reconfiguration times significantly impact latency so tasks should be reused and reconfiguration hidden when possible through techniques like relocation.
The document discusses concepts related to partial dynamic reconfiguration. It defines key terms like reconfigurable computing, object code, reconfiguration controller, and reconfiguration manager. It also discusses the 5 Ws of reconfiguration - who controls it, where the controller is located, when configurations are generated, which is the granularity, and in what dimension it operates. Examples of reconfiguration in everyday life like sports are provided. Reconfigurable architectures are characterized based on factors like embedded vs external, complete vs partial, and dynamic vs static. Finally, more definitions related to cores, IP cores, and reconfigurable functional units and regions are given.
1. BiRF: un filtro hardware per la rilocazione dinamica online dei bitstream per la riconfigurazione parziale Relatore: prof. Donatella Sciuto Correlatore: ing. Marco Domenico Santambrogio Tesi di Laurea di: Massimo Morandi Marco Novati
2. Sommario Obiettivo del lavoro Premesse Riconfigurazione dinamica parziale interna Struttura a colonne e indirizzamento FPGA Xilinx Organizzazione bitstream di configurazione La rilocazione Il concetto di rilocazione Rilocazione applicata alla riconfigurazione interna BiRF Da REPLICA a BiRF Struttura e funzionamento di BiRF Dati di sintesi Risultati sperimentali Conclusioni e sviluppi futuri
3. Obiettivo del lavoro Obiettivo: ridurre l'uso di memoria per i bitstream in sistemi che implementano riconfigurazione dinamica parziale interna basata su colonne Metodo: tecnica di rilocazione dei bitstream Strumento: filtro hardware creato ad-hoc per rilocare i bitstream direttamente su FPGA BiRF è lo strumento creato a tale scopo e validato all'interno dell'architettura YaRA
4. Riconfigurazione dinamica parziale interna Dinamica: L'elaborazione continua anche durante la riconfigurazione Necessità di garantire infrastruttura di comunicazione permanente Parziale: Possibile variare la funzionalità di singole parti dell'FPGA Serve un bitstream parziale per ogni funzionalità voluta e per ogni possibile posizione Interna: L'intero processo è gestito autonomamente dal sistema Il gestore della riconfigurazione e tutti i bitstream parziali devono trovarsi internamente al sistema
5. Struttura a colonne e indirizzamento FPGA Xilinx Colonne di 5 tipi: Clock, RAM, I-RAM, I/O, CLB Colonne divise in N frame a seconda del tipo Doppio indirizzo: Major Address, Minor Address Major Address Colonna CLB = 48 frame
7. Il concetto di rilocazione Un bitstream parziale descrive la configurazione di una singola funzionalità Comprese le informazioni relative al posizionamento sul dispositivo Manipolandolo si può quindi ottenere la configurazione della stessa funzionalità in una posizione arbitraria
8. Rilocazione applicata alla riconfigurazione interna Ipotesi: Area riconfigurabile equamente divisa in k slot n IP-Core allocabili in uno o più slot k moduli per deallocare Numero di bitstream: k*(n+1) Numero di bitstream con rilocazione: n+1 Per alcune architetture d'esempio, ipotizzando dimensione dei bitstream costante, risulta:
9. Da REPLICA a BiRF REPLICA: Università di Paderborn Rilocazione dei bitstream durante il download su scheda Compatibile con Virtex, Virtex-E BiRF: Reimplementazione ed estensione di REPLICA Applicato alla riconfigurazione interna Compatibilità estesa alle Virtex-II Pro Permette di memorizzare nel sistema un solo bitstream per funzionalitÃ
10. Struttura e funzionamento di BiRF Target Col: colonna iniziale di destinazione del modulo Chip Cols, Chip RAMs, RAM Space: parametri della scheda DATA_IN: bitstream da rilocare a blocchi da 32 bit DATA_OUT: bitstream rilocato a blocchi da 32 bit
12. Dati di sintesi L'occupazione di BiRF su tre differenti FPGA risulta: Accettabile per un'architettura riconfigurabile Migliorabile con ottimizzazioni mirate a una FPGA Le massime prestazioni teoriche di BiRF sono:
14. Conclusioni e sviluppi futuri Obiettivi raggiunti: BiRF può essere effettivamente sfruttato per la riconfigurazione dinamica parziale interna Permette un notevole risparmio di memoria grazie alla rilocazione Dynamic Reconfiguration: Core Relocation via Partial Bitstreams Filtering with Minimal Overhead, International Symposium on System-on-Chip, Tampere 2006 Sviluppi futuri: Miglioramento delle prestazioni tramite: Interfacciamento su bus PLB Accesso diretto alla memoria (DMA) Integrazione con ICAP