EuFRATE: European FPGA Radiation-hardened Architecture for Telecommunications

The EuFRATE project aims to research, develop and test radiation-hardening methods for telecommunication payloads deployed for Geostationary-Earth Orbit (GEO) using Commercial-Off-The-Shelf Field Programmable Gate Arrays (FPGAs). This project is conducted by Argotec Group (Italy) with the collaboration of two partners: Politecnico di Torino (Italy) and Technische Universit¨at Dresden (Germany). The idea of the project focuses on high-performance telecommunication algorithms and the design and implementation strategies for connecting an FPGA device into a robust and efficient cluster of multi-FPGA systems. The radiation-hardening techniques currently under development are addressing both device and cluster levels, with redundant datapaths on multiple devices, comparing the results and isolating fatal errors. This paper introduces the current state of the project’s hardware design description, the composition of the FPGA cluster node, the proposed cluster topology, and the radiation hardening techniques. Intermediate stage experimental results of the FPGA communication layer performance and fault detection techniques are presented. Finally, a wide summary of the project’s impact on the scientific community is provided

Speeding-up model-based fault injection of deep-submicron CMOS fault models through dynamic and partially reconfigurable FPGAS

Actualmente, las tecnologías CMOS submicrónicas son básicas para el desarrollo de los modernos sistemas basados en computadores, cuyo uso simplifica enormemente nuestra vida diaria en una gran variedad de entornos, como el gobierno, comercio y banca electrónicos, y el transporte terrestre y aeroespacial. La continua reducción del tamaño de los transistores ha permitido reducir su consumo y aumentar su frecuencia de funcionamiento, obteniendo por ello un mayor rendimiento global. Sin embargo, estas mismas características que mejoran el rendimiento del sistema, afectan negativamente a su confiabilidad. El uso de transistores de tamaño reducido, bajo consumo y alta velocidad, está incrementando la diversidad de fallos que pueden afectar al sistema y su probabilidad de aparición. Por lo tanto, existe un gran interés en desarrollar nuevas y eficientes técnicas para evaluar la confiabilidad, en presencia de fallos, de sistemas fabricados mediante tecnologías submicrónicas. Este problema puede abordarse por medio de la introducción deliberada de fallos en el sistema, técnica conocida como inyección de fallos. En este contexto, la inyección basada en modelos resulta muy interesante, ya que permite evaluar la confiabilidad del sistema en las primeras etapas de su ciclo de desarrollo, reduciendo por tanto el coste asociado a la corrección de errores. Sin embargo, el tiempo de simulación de modelos grandes y complejos imposibilita su aplicación en un gran número de ocasiones. Esta tesis se centra en el uso de dispositivos lógicos programables de tipo FPGA (Field-Programmable Gate Arrays) para acelerar los experimentos de inyección de fallos basados en simulación por medio de su implementación en hardware reconfigurable. Para ello, se extiende la investigación existente en inyección de fallos basada en FPGA en dos direcciones distintas: i) se realiza un estudio de las tecnologías submicrónicas existentes para obtener un conjunto representativo de modelos de fallos transitoriosAndrés Martínez, DD. (2007). Speeding-up model-based fault injection of deep-submicron CMOS fault models through dynamic and partially reconfigurable FPGAS [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/1943Palanci

Compiling and optimizing spreadsheets for FPGA and multicore execution

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007."September 2007."Includes bibliographical references (p. 102-104).A major barrier to developing systems on multicore and FPGA chips is an easy-to-use development environment. This thesis presents the RhoZeta spreadsheet compiler and Catalyst optimization system for programming multiprocessors and FPGAs. Any spreadsheet frontend may be extended to work with RhoZeta's multiple interpreters and behavioral abstraction mechanisms. RhoZeta synchronizes a variety of cell interpreters acting on a global memory space. RhoZeta can also compile a group of cells to multithreaded C or Verilog. The result is an easy-to-use interface for programming multicore microprocessors and FPGAs. A spreadsheet environment presents parallelism and locality issues of modem hardware directly to the user and allows for a simple global memory synchronization model. Catalyst is a spreadsheet graph rewriting system based on performing behaviorally invariant guarded atomic actions while a system is being interpreted by RhoZeta. A number of optimization macros were developed to perform speculation, resource sharing and propagation of static assignments through a circuit. Parallelization of a 64-bit serial leading-zero-counter is demonstrated with Catalyst. Fault tolerance macros were also developed in Catalyst to protect against dynamic faults and to offset costs associated with testing semiconductors for static defects. A model for partitioning, placing and profiling spreadsheet execution in a heterogeneous hardware environment is also discussed. The RhoZeta system has been used to design several multithreaded and FPGA applications including a RISC emulator and a MIDI controlled modular synthesizer.by Amir Hirsch.M.Eng

A Methodology to Emulate Single Event Upsets in Flip-Flops using FPGAs through Partial Reconfiguration and Instrumentation

This paper presents a methodology to emulate Single Event Upsets (SEUs) in FPGA flip-flops (FFs). Since the content of a FF is not modifiable through the FPGA configuration memory bits, a dedicated design is required for fault injection in the FFs. The method proposed in this paper is a hybrid approach that combines FPGA partial reconfiguration and extra logic added to the circuit under test, without modifying its operation. This approach has been integrated into a fault-injection platform, named NESSY (Non intrusive ErrorS injection SYstem), developed by our research group. Finally, this paper includes results on a Virtex-5 FPGA demonstrating the validity of the method on the ITC’99 benchmark set and a Feed-Forward Equalization (FFE) filter. In comparison with other approaches in the literature, this methodology reduces the resource consumption introduced to carry out the fault injection in FFs, at the cost of adding very little time overhead (1.6 �μs per fault)

Study and development of innovative strategies for energy-efficient cross-layer design of digital VLSI systems based on Approximate Computing

The increasing demand on requirements for high performance and energy efficiency in modern digital systems has led to the research of new design approaches that are able to go beyond the established energy-performance tradeoff. Looking at scientific literature, the Approximate Computing paradigm has been particularly prolific. Many applications in the domain of signal processing, multimedia, computer vision, machine learning are known to be particularly resilient to errors occurring on their input data and during computation, producing outputs that, although degraded, are still largely acceptable from the point of view of quality. The Approximate Computing design paradigm leverages the characteristics of this group of applications to develop circuits, architectures, algorithms that, by relaxing design constraints, perform their computations in an approximate or inexact manner reducing energy consumption. This PhD research aims to explore the design of hardware/software architectures based on Approximate Computing techniques, filling the gap in literature regarding effective applicability and deriving a systematic methodology to characterize its benefits and tradeoffs. The main contributions of this work are: -the introduction of approximate memory management inside the Linux OS, allowing dynamic allocation and de-allocation of approximate memory at user level, as for normal exact memory; - the development of an emulation environment for platforms with approximate memory units, where faults are injected during the simulation based on models that reproduce the effects on memory cells of circuital and architectural techniques for approximate memories; -the implementation and analysis of the impact of approximate memory hardware on real applications: the H.264 video encoder, internally modified to allocate selected data buffers in approximate memory, and signal processing applications (digital filter) using approximate memory for input/output buffers and tap registers; -the development of a fully reconfigurable and combinatorial floating point unit, which can work with reduced precision formats