DeSyRe: on-Demand System Reliability

The DeSyRe project builds on-demand adaptive and reliable Systems-on-Chips (SoCs). As fabrication technology scales down, chips are becoming less reliable, thereby incurring increased power and performance costs for fault tolerance. To make matters worse, power density is becoming a significant limiting factor in SoC design, in general. In the face of such changes in the technological landscape, current solutions for fault tolerance are expected to introduce excessive overheads in future systems. Moreover, attempting to design and manufacture a totally defect and fault-free system, would impact heavily, even prohibitively, the design, manufacturing, and testing costs, as well as the system performance and power consumption. In this context, DeSyRe delivers a new generation of systems that are reliable by design at well-balanced power, performance, and design costs. In our attempt to reduce the overheads of fault-tolerance, only a small fraction of the chip is built to be fault-free. This fault-free part is then employed to manage the remaining fault-prone resources of the SoC. The DeSyRe framework is applied to two medical systems with high safety requirements (measured using the IEC 61508 functional safety standard) and tight power and performance constraints

A FPGA-Based Reconfigurable Software Architecture for Highly Dependable Systems

Nowadays, systems-on-chip are commonly equipped with reconfigurable hardware. The use of hybrid architectures based on a mixture of general purpose processors and reconfigurable components has gained importance across the scientific community allowing a significant improvement of computational performance. Along with the demand for performance, the great sensitivity of reconfigurable hardware devices to physical defects lead to the request of highly dependable and fault tolerant systems. This paper proposes an FPGA-based reconfigurable software architecture able to abstract the underlying hardware platform giving an homogeneous view of it. The abstraction mechanism is used to implement fault tolerance mechanisms with a minimum impact on the system performanc

Avoiding core's DUE & SDC via acoustic wave detectors and tailored error containment and recovery

The trend of downsizing transistors and operating voltage scaling has made the processor chip more sensitive against radiation phenomena making soft errors an important challenge. New reliability techniques for handling soft errors in the logic and memories that allow meeting the desired failures-in-time (FIT) target are key to keep harnessing the benefits of Moore's law. The failure to scale the soft error rate caused by particle strikes, may soon limit the total number of cores that one may have running at the same time. This paper proposes a light-weight and scalable architecture to eliminate silent data corruption errors (SDC) and detected unrecoverable errors (DUE) of a core. The architecture uses acoustic wave detectors for error detection. We propose to recover by confining the errors in the cache hierarchy, allowing us to deal with the relatively long detection latencies. Our results show that the proposed mechanism protects the whole core (logic, latches and memory arrays) incurring performance overhead as low as 0.60%. © 2014 IEEE.Peer ReviewedPostprint (author's final draft

Exceeding Conservative Limits: A Consolidated Analysis on Modern Hardware Margins

Modern large-scale computing systems (data centers, supercomputers, cloud and edge setups and high-end cyber-physical systems) employ heterogeneous architectures that consist of multicore CPUs, general-purpose many-core GPUs, and programmable FPGAs. The effective utilization of these architectures poses several challenges, among which a primary one is power consumption. Voltage reduction is one of the most efficient methods to reduce power consumption of a chip. With the galloping adoption of hardware accelerators (i.e., GPUs and FPGAs) in large datacenters and other large-scale computing infrastructures, a comprehensive evaluation of the safe voltage reduction levels for each different chip can be employed for efficient reduction of the total power. We present a survey of recent studies in voltage margins reduction at the system level for modern CPUs, GPUs and FPGAs. The pessimistic voltage guardbands inserted by the silicon vendors can be exploited in all devices for significant power savings. On average, voltage reduction can reach 12% in multicore CPUs, 20% in manycore GPUs and 39% in FPGAs.Comment: Accepted for publication in IEEE Transactions on Device and Materials Reliabilit

Affordable techniques for dependable microprocessor design

As high computing power is available at an affordable cost, we rely on microprocessor-based systems for much greater variety of applications. This dependence indicates that a processor failure could have more diverse impacts on our daily lives. Therefore, dependability is becoming an increasingly important quality measure of microprocessors.;Temporary hardware malfunctions caused by unstable environmental conditions can lead the processor to an incorrect state. This is referred to as a transient error or soft error. Studies have shown that soft errors are the major source of system failures. This dissertation characterizes the soft error behavior on microprocessors and presents new microarchitectural approaches that can realize high dependability with low overhead.;Our fault injection studies using RISC processors have demonstrated that different functional blocks of the processor have distinct susceptibilities to soft errors. The error susceptibility information must be reflected in devising fault tolerance schemes for cost-sensitive applications. Considering the common use of on-chip caches in modern processors, we investigated area-efficient protection schemes for memory arrays. The idea of caching redundant information was exploited to optimize resource utilization for increased dependability. We also developed a mechanism to verify the integrity of data transfer from lower level memories to the primary caches. The results of this study show that by exploiting bus idle cycles and the information redundancy, an almost complete check for the initial memory data transfer is possible without incurring a performance penalty.;For protecting the processor\u27s control logic, which usually remains unprotected, we propose a low-cost reliability enhancement strategy. We classified control logic signals into static and dynamic control depending on their changeability, and applied various techniques including commit-time checking, signature caching, component-level duplication, and control flow monitoring. Our schemes can achieve more than 99% coverage with a very small hardware addition. Finally, a virtual duplex architecture for superscalar processors is presented. In this system-level approach, the processor pipeline is backed up by a partially replicated pipeline. The replication-based checker minimizes the design and verification overheads. For a large-scale superscalar processor, the proposed architecture can bring 61.4% reduction in die area while sustaining the maximum performance