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Software-defined networking (SDN) is an emerging and disruptive networking paradigm that emerged on campus networks but was soon recognized as having potential applicability in several other application areas, including Internet of Things (IoT) and Industrial IoT. Industrial IoT applications have requirements remarkably distinct from the ones of campus networks, particularly in what concerns timeliness...
With the increasing adoption of embedded systems in critical automotive applications, the verification of hardware designs reliability is becoming a strictly regulated process where the ISO26262 standard plays a key role. Today crucial verification activities such as failure analysis and FMEA are still relying heavily on reliability engineer expertise, as automatic methods supporting them are still...
The performance of List Successive-Cancellation Decoding (LSCD) of Polar Codes with large list size have exceeded that of Turbo codes and Low-Density Parity-Check codes. However, large list size results in huge computation complexity and this limits the applicability of LSCD in high-throughput and power- sensitive applications. In this work, a low complexity design for LSCD with large list size based...
Polar codes are a new class of block codes with an explicit construction that provably achieve the capacity of various communications channels, even with the low-complexity successive-cancellation (SC) decoding algorithm. Yet, the more complex successive-cancellation list (SCL) decoding algorithm is gathering more attention lately as it significantly improves the error-correction performance of short-to...
In typical settings for Wireless Sensor Networks (WSNs), a potentially large set of nodes operates under strict requirements concerning energy consumption and packet delivery success. If non-reliable or even malicious nodes participate, standard protocols can suffer in performance which may result in a limited functionality of the whole network. This paper addresses this issue by establishing end-to-end...
In spite of decades of research, only a small percentage of hardware is designed using high-level synthesis because of the large gap between the abstraction levels of standard cells and algorithmic level. We propose a grid-based regular physical design platform composed of large grain hardened building blocks called SiLago blocks. This platform is divided into regions which are specialized for different...
This paper introduced a thru-reflect-line (TRL) calibration standard design for on-wafer measurement. The calibration kits were simulated and fabricated on Indium Phosphide (InP) substrate. The calibration kits covered a range of frequencies from 70 to 220 GHz. On-wafer calibration performed with the microstrip transmission line style contacts was described in this work . The calibration is sufficient...
Characterization of high-performance computing applications often has to be done without access to the source code. Computer architects, therefore, have a narrowed choice of instrumentation tools. Moreover, potentially large amount of collected data can prohibit creating a full time stamped event trace and analyzing it post-mortem. This paper describes Limpio -- a Light weight MPI instrumentation...
This paper reports on a comprehensive, fully automated resource use monitoring package, TACC Stats, which enables both consultants, users and other stakeholders in an HPC system to systematically and actively identify jobs/applications that could benefit from expert support and to aid in the diagnosis of software and hardware issues. TACC Stats continuously collects and analyzes resource usage data...
Forward Error Correction (FEC) consumes excessive computation in a Software Defined Radio (SDR) system. In this work, a high-throughput flexible FEC processor is proposed for the decoding acceleration. The FEC processor enables Turbo/QC-LDPC/Convolutional Code decoding with software-hardware co-reconfigurability. A multi-algorithm unified trellis processing unit is introduced for resource sharing...
This paper reports initial research results related to the use of locality-sensitive hashing (LSH) for string-based matching of big ontologies. Two ways of transforming the matching problem into a LSH problem are proposed and experimental results are reported. The performed experiments show that using LSH for ontology matching could lead to a very fast matching process. The quality of the alignment...
Detecting clones from large datasets is an interesting research topic for a number of reasons. However, building scalable clone detection tools is challenging and it is often impossible to use existing state of the art tools for such large datasets. In this research we have investigated the use of our Shuffling Framework for scaling classical clone detection tools to ultra large datasets. This framework...
Tail-biting convolutional codes (TBCC) find applications in many modern-day communication standards such as LTE and IEEE 802.16e. Since tail-biting convolutional codes do not require a zero-tail, they achieve a better coding efficiency than their traditional counterparts. However, the absence of a zero-tail drastically increases the complexity of a standard maximum-likelihood decoder, making its implementation...
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