Echoes from the Past: Intergenerational Memories in Cyprus

The purpose of this article is to describe young people's awareness of their parents’ and grandparents’ stories of the events of 1974 in Cyprus and to evaluate the extent to which they perceive teachers as other key figures in their lives endorsing family accounts of history. The article is based on focus group discussions with 20 Turkish Cypriot and 20 Greek Cypriot teenagers from two schools in Cyprus. The article describes how in some cases, young people appropriate these memories as their own, while in other cases, they acknowledge how the passing of time dilutes the significance of past events and allows some young people to envisage a different collective future.

Recording Memories from Political Violence: a Filmmaker's Journey

Based on the work the author has carried out with survivors groups in Northern Ireland and South Africa, this book describes and analyses the use of documentary filmmaking in recording experiences of political conflict. A variety of issues relevant to the genre are addressed at length, including the importance of ethics in the collaboration between the filmmaker and the participant and the effect of location on the accounts of participants.

Further Information:
This monograph reflects on and analyses the work of the author/director over the past decade. His documentary films have been produced in the context of how to address storytelling in post conflict societies by drawing on the disciplines of oral history, ethnography, memory studies and documentary film. All the documentary films under discussion have been produced collaboratively with NGOs, including the Victims and Survivors Trust and WAVE Trauma Centre (both Belfast) and the Human Rights Media Centre, Cape Town. Investigating the influence of location in memory stimulation and the role of collaboration on authorship during trauma recovery, the author offers insights into the process of collaboratively production, which attends to both ethical and aesthetic considerations. While most emphasis is placed on the research, production and post-production phases, thought is also given to the reception of these films and the impact they have on the participants, wider communities, and on policy decisions.

Rapid formation of robust auditory memories: Insights from noise

Before a natural sound can be recognized, an auditory signature of its source must be learned through experience. Here we used random waveforms to probe the formation of new memories for arbitrary complex sounds. A behavioral measure was designed, based on the detection of repetitions embedded in noises up to 4 s long. Unbeknownst to listeners, some noise samples reoccurred randomly throughout an experimental block. Results showed that repeated exposure induced learning for otherwise totally unpredictable and meaningless sounds. The learning was unsupervised and resilient to interference from other task-relevant noises. When memories were formed, they emerged rapidly, performance became abruptly near-perfect, and multiple noises were remembered for several weeks. The acoustic transformations to which recall was tolerant suggest that the learned features were local in time. We propose that rapid sensory plasticity could explain how the auditory brain creates useful memories from the ever-changing, but sometimes repeating, acoustical world. © 2010 Elsevier Inc.

Rethinking German identity after the Nazi experience: French memories of Germans in Sartre’s Roads to freedom

UK Sartre Studies conference
Institut français in London
September 2007

Sequential measurement-based quantum computing with memories

We introduce a general scheme for sequential one-way quantum computation where static systems with long-living quantum coherence (memories) interact with moving systems that may possess very short coherence times. Both the generation of the cluster state needed for the computation and its consumption by measurements are carried out simultaneously. As a consequence, effective clusters of one spatial dimension fewer than in the standard approach are sufficient for computation. In particular, universal computation requires only a one-dimensional array of memories. The scheme applies to discrete-variable systems of any dimension as well as to continuous-variable ones, and both are treated equivalently under the light of local complementation of graphs. In this way our formalism introduces a general framework that encompasses and generalizes in a unified manner some previous system-dependent proposals. The procedure is intrinsically well suited for implementations with atom-photon interfaces.

Framed Memories of Berlin:Film, Remembrance and Architecture

In The City of Collective Memory, urban historian Christina Boyer (1994) defines the image of a city as an abstracted concept, an imaginary (re)constructed form. This urban image is created from many aspects, one of which is the framed and edited views and experiences found in films situated in or about a particular city. In this study, to explore the collective memory of the city of Berlin from an architectural point of view, one film from each of the major historical periods of Berlin since the invention of cinema is examined: pre-WWI, interwar period, the Nazi period, post-WWII, Berlin Wall/Cold War, and the reunification period. Memory-making in the city is studied following the footsteps of the protagonists in the films, concluding that film-making and memory-making make use of similar processes, the editing of fragmented pieces of so-called reality, to create its own reality.

Ferroelectric hafnium oxide: A CMOS-compatible and highly scalable approach to future ferroelectric memories

With the ability to engineer ferroelectricity in HfO2 thin films, manufacturable and highly scaled MFM capacitors and MFIS-FETs can be implemented into a CMOS-environment. NVM properties of the resulting devices are discussed and contrasted to existing perovskite based FRAM.

Data Mapping for Unreliable Memories

Future digital signal processing (DSP) systems must provide robustness on algorithm and application level to the presence of reliability issues that come along with corresponding implementations in modern semiconductor process technologies. In this paper, we address this issue by investigating the impact of unreliable memories on general DSP systems. In particular, we propose a novel framework to characterize the effects of unreliable memories, which enables us to devise novel methods to mitigate the associated performance loss. We propose to deploy specifically designed data representations, which have the capability of substantially improving the system reliability compared to that realized by conventional data representations used in digital integrated circuits, such as 2's-complement or sign-magnitude number formats. To demonstrate the efficacy of the proposed framework, we analyze the impact of unreliable memories on coded communication systems, and we show that the deployment of optimized data representations substantially improves the error-rate performance of such systems.

Approximate Computing with Unreliable Dynamic Memories

Embedded memories account for a large fraction of the overall silicon area and power consumption in modern SoC(s). While embedded memories are typically realized with SRAM, alternative solutions, such as embedded dynamic memories (eDRAM), can provide higher density and/or reduced power consumption. One major challenge that impedes the widespread adoption of eDRAM is that they require frequent refreshes potentially reducing the availability of the memory in periods of high activity and also consuming significant amount of power due to such frequent refreshes. Reducing the refresh rate while on one hand can reduce the power overhead, if not performed in a timely manner, can cause some cells to lose their content potentially resulting in memory errors. In this paper, we consider extending the refresh period of gain-cell based dynamic memories beyond the worst-case point of failure, assuming that the resulting errors can be tolerated when the use-cases are in the domain of inherently error-resilient applications. For example, we observe that for various data mining applications, a large number of memory failures can be accepted with tolerable imprecision in output quality. In particular, our results indicate that by allowing as many as 177 errors in a 16 kB memory, the maximum loss in output quality is 11%. We use this failure limit to study the impact of relaxing reliability constraints on memory availability and retention power for different technologies.

Commemoration in the United Kingdom: A multitude of memories

In the United Kingdom (UK) the centenary commemoration of the First World War has been driven by a combination of central government direction (and funding) with a multitude of local and community initiatives, with a particular focus on 4 August 2014; 1 July 2016 (the beginning of the Battle of the Somme) and 11 November 2018. ‘National’ ceremonies on these dates have been and will be supplemented with projects commemorating micro-stories and government-funded opportunities for schoolchildren to visit Great War battlefields, the latter clearly aimed to reinforce a contemporary sense of civic and national obligation and service. This article explores the problematic nature of this approach, together with the issues raised by the multi-national nature of the UK state itself.

Energy versus data integrity trade-offs in embedded high-density logic compatible dynamic memories

Current variation aware design methodologies, tuned for worst-case scenarios, are becoming increasingly pessimistic from the perspective of power and performance. A good example of such pessimism is setting the refresh rate of DRAMs according to the worst-case access statistics, thereby resulting in very frequent refresh cycles, which are responsible for the majority of the standby power consumption of these memories. However, such a high refresh rate may not be required, either due to extremely low probability of the actual occurrence of such a worst-case, or due to the inherent error resilient nature of many applications that can tolerate a certain number of potential failures. In this paper, we exploit and quantify the possibilities that exist in dynamic memory design by shifting to the so-called approximate computing paradigm in order to save power and enhance yield at no cost. The statistical characteristics of the retention time in dynamic memories were revealed by studying a fabricated 2kb CMOS compatible embedded DRAM (eDRAM) memory array based on gain-cells. Measurements show that up to 73% of the retention power can be saved by altering the refresh time and setting it such that a small number of failures is allowed. We show that these savings can be further increased by utilizing known circuit techniques, such as body biasing, which can help, not only in extending, but also in preferably shaping the retention time distribution. Our approach is one of the first attempts to access the data integrity and energy tradeoffs achieved in eDRAMs for utilizing them in error resilient applications and can prove helpful in the anticipated shift to approximate computing.