The phonological status of English oral stops after tautosyllabic /s/ : evidence from speakers' classificatory behaviour

The classification of oral stops after tautosyllabic /s/ in English is an old phonological problem to which different solutions have been proposed. In an attempt to provide experimental evidence on the classification of oral bilabial stops after tautosyllabic /s/ by native speakers of English, a concept formation experiment was conducted. The results showed that out of the four main phonological theoretical views on the classification of oral stops after tautosyllabic /s/, the solution which treats those speech segments as allophones of the phonemes /p, t, k/ is the most plausible from the point of view of language users' classificatory behaviour

Efficient resources assignment schemes for clustered multithreaded processors

New feature sizes provide larger number of transistors per chip that architects could use in order to further exploit instruction level parallelism. However, these technologies bring also new challenges that complicate conventional monolithic processor designs. On the one hand, exploiting instruction level parallelism is leading us to diminishing returns and therefore exploiting other sources of parallelism like thread level parallelism is needed in order to keep raising performance with a reasonable hardware complexity. On the other hand, clustering architectures have been widely studied in order to reduce the inherent complexity of current monolithic processors. This paper studies the synergies and trade-offs between two concepts, clustering and simultaneous multithreading (SMT), in order to understand the reasons why conventional SMT resource assignment schemes are not so effective in clustered processors. These trade-offs are used to propose a novel resource assignment scheme that gets and average speed up of 17.6% versus Icount improving fairness in 24%.Peer ReviewedPostprint (published version

Frontend frequency-voltage adaptation for optimal energy-delay/sup 2/

In this paper, we present a clustered, multiple-clock domain (CMCD) microarchitecture that combines the benefits of both clustering and globally asynchronous locally synchronous (GALS) designs. We also present a mechanism for dynamically adapting the frequency and voltage of the frontend of the CMCD with the goal to optimize the energy-delay/sup 2/ product (ED2P). Our mechanism has minimal hardware cost, is entirely self-adjustable, does not depend on any thresholds, and achieves results close to optimal. We evaluate it on 16 SPEC 2000 applications and report 17.5% ED2P reduction on average (80% of the upper bound).Peer ReviewedPostprint (published version

Control speculation for energy-efficient next-generation superscalar processors

Conventional front-end designs attempt to maximize the number of "in-flight" instructions in the pipeline. However, branch mispredictions cause the processor to fetch useless instructions that are eventually squashed, increasing front-end energy and issue queue utilization and, thus, wasting around 30 percent of the power dissipated by a processor. Furthermore, processor design trends lead to increasing clock frequencies by lengthening the pipeline, which puts more pressure on the branch prediction engine since branches take longer to be resolved. As next-generation high-performance processors become deeply pipelined, the amount of wasted energy due to misspeculated instructions will go up. The aim of this work is to reduce the energy consumption of misspeculated instructions. We propose selective throttling, which triggers different power-aware techniques (fetch throttling, decode throttling, or disabling the selection logic) depending on the branch prediction confidence level. Results show that combining fetch-bandwidth reduction along with select-logic disabling provides the best performance in terms of overall energy reduction and energy-delay product improvement (14 percent and 10 percent, respectively, for a processor with a 22-stage pipeline and 16 percent and 13 percent, respectively, for a processor with a 42-stage pipeline).Peer ReviewedPostprint (published version

Virtual-physical registers

A novel dynamic register renaming approach is proposed in this work. The key idea of the novel scheme is to delay the allocation of physical registers until a late stage in the pipeline, instead of doing it in the decode stage as conventional schemes do. In this way, the register pressure is reduced and the processor can exploit more instruction-level parallelism. Delaying the allocation of physical registers require some additional artifact to keep track of dependences. This is achieved by introducing the concept of virtual-physical registers, which do not require any storage location and are used to identify dependences among instructions that have not yet allocated a register to its destination operand. Two alternative allocation strategies have been investigated that differ in the stage where physical registers are allocated: issue or write-back. The experimental evaluation has confirmed the higher performance of the latter alternative. We have performed all evaluation of the novel scheme through a detailed simulation of a dynamically scheduled processor. The results show a significant improvement (e.g., 19% increase in IPC for a machine with 64 physical registers in each file) when compared with the traditional register renaming approach.Peer ReviewedPostprint (published version

The Emergence of Native Podcasts in Journalism: Editorial Strategies and Business Opportunities in Latin America

This article analyses the state of the art of podcasting in the new digital landscape as well as the structures, editorial strategies, and business models of native podcasts launched in Latin America over the last few years. To this end, a multiple case study has been made to examine the way new digital outlets are using audio content. This qualitative research is made up of a variety of approaches, such as interviews, online surveys of podcasters, as well as the collection and analysis of secondary data. A specific aim of this comparative study was to include a sample of podcasts produced by thirteen emerging media platforms from eight countries registered in the directory of digital natives conducted by SembraMedia (https://www.sembramedia.org). This is a nonprofit organization dedicated to increasing the diversity and quality of Spanish language content by helping digital media entrepreneurs become more sustainable and successful. Results of this exploratory study reveal that native podcasting in Spanish is still expanding and that where the new media are small in scale, they are more oriented to the full exploitation of the narrative and innovative possibilities of this audio format and do not have responding to their target audiences’ needs as their main priority. These new media are finding different ways to become monetised (mainly content production for clients, sponsored content, sponsorship, consulting services, and advertising) and to make a profit

Using MCD-DVS for dynamic thermal management performance improvement

With chip temperature being a major hurdle in microprocessor design, techniques to recover the performance loss due to thermal emergency mechanisms are crucial in order to sustain performance growth. Many techniques for power reduction in the past and some on thermal management more recently have contributed to alleviate this problem. Probably the most important thermal control technique is dynamic voltage and frequency scaling (DVS) which allows for almost cubic reduction in power with worst-case performance penalty only linear. So far, DVS techniques for temperature control have been studied at the chip level. Finer grain DVS is feasible if a globally-asynchronous locally-synchronous (GALS) design style is employed. GALS, also known as multiple-clock domain (MCD), allows for an independent voltage and frequency control for each one of the clock domains that are part of the chip. There are several studies on DVS for GALS that aim to improve energy and power efficiency but not temperature. This paper proposes and analyses the usage of DVS at the domain level to control temperature in a clustered MCD microarchitecture with the goal of improving the performance of applications that do not meet the thermal constraints imposed by the designers.Peer ReviewedPostprint (published version

Taking advantage of unexpected WebCONSORT results

To estimate treatment effects, trials are initiated by randomising patients to the interventions under study and finish by comparing patient evolution. In order to improve the trial report, the CONSORT statement provides authors and peer reviewers with a guide of the essential items that would allow research replication. Additionally, WebCONSORT aims to facilitate author reporting by providing the items from the different CONSORT extensions that are relevant to the trial being reported. WebCONSORT has been estimated to improve the proportion of reported items by 0.04 (95% CI, –0.02 to 0.10), interpreted as “no important difference”, in accordance with the scheduled desired scenario of a 0.15 effect size improvement. However, in a non-scheduled analysis, it was found that, despite clear instructions, around a third of manuscripts selected for trials by the editorial staff were not actually randomised trials. We argue that surprises benefit science, and that further research should be conducted in order to improve the performance of editorial staff.Peer ReviewedPostprint (published version

A linear optimization based method for data privacy in statistical tabular data

National Statistical Agencies routinely disseminate large amounts of data. Prior to dissemination these data have to be protected to avoid releasing confidential information. Controlled tabular adjustment (CTA) is one of the available methods for this purpose. CTA formulates an optimization problem that looks for the safe table which is closest to the original one. The standard CTA approach results in a mixed integer linear optimization (MILO) problem, which is very challenging for current technology. In this work we present a much less costly variant of CTA that formulates a multiobjective linear optimization (LO) problem, where binary variables are pre-fixed, and the resulting continuous problem is solved by lexicographic optimization. Extensive computational results are reported using both commercial (CPLEX and XPRESS) and open source (Clp) solvers, with either simplex or interior-point methods, on a set of real instances. Most instances were successfully solved with the LO-CTA variant in less than one hour, while many of them are computationally very expensive with the MILO-CTA formulation. The interior-point method outperformed simplex in this particular application.Peer ReviewedPreprin