University of Edinburgh - Equipment Account
Lead Research Organisation:
University of Edinburgh
Department Name: UNLISTED
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
Publications
Laguna I
(2019)
A large-scale study of MPI usage in open-source HPC applications
L Stoltzfus
(2017)
Performance Portability for Room Acoustics Simulations
Kölln LS
(2022)
Label2label: training a neural network to selectively restore cellular structures in fluorescence microscopy.
in Journal of cell science
Kumar R
(2018)
Blasting through the Front-End Bottleneck with Shotgun
Kufcsák A
(2017)
Time-resolved spectroscopy at 19,000 lines per second using a CMOS SPAD line array enables advanced biophotonics applications.
in Optics express
Kristien M
(2019)
High-level synthesis of functional patterns with Lift
Kristien M
(2019)
Mitigating JIT compilation latency in virtual execution environments
Kristien M
(2020)
Fast and Correct Load-Link/Store-Conditional Instruction Handling in DBT Systems
in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Katsarakis A
(2020)
Hermes: A Fast, Fault-Tolerant and Linearizable Replication Protocol
Karampatsis, R
(2015)
CDTDS: Predicting Paraphrases in Twitter via Support Vector Regression
Kapara A
(2020)
Investigation of cellular uptake mechanism of functionalised gold nanoparticles into breast cancer using SERS.
in Chemical science
Kapara A
(2021)
Detection of Estrogen Receptor Alpha and Assessment of Fulvestrant Activity in MCF-7 Tumor Spheroids Using Microfluidics and SERS.
in Analytical chemistry
Kamaljith V
(2020)
Ultrafast-laser-ablation-assisted spatially selective attachment of fluorescent sensors onto optical fibers.
in Optics letters
Harries A
(2016)
Compositional Compilation for Sparse, Irregular Data Parallelism
Hagedorn B
(2018)
High performance stencil code generation with Lift
Gong J
(2019)
Polymer Microarrays for the Discovery and Optimization of Robust Optical-Fiber-Based pH Sensors.
in ACS combinatorial science
Goens A
(2019)
A case study on machine learning for synthesizing benchmarks
Ginsbach P
(2020)
Automatically harnessing sparse acceleration
Ghashghaei O
(2018)
Multiple Multicomponent Reactions: Unexplored Substrates, Selective Processes, and Versatile Chemotypes in Biomedicine
in Chemistry - A European Journal
Geras Krzysztof J.
(2014)
Scheduled denoising autoencoders
in arXiv e-prints
Gavrielatos V
(2018)
Scale-out ccNUMA
Gavrielatos V
(2020)
Kite
Fowler S
(2016)
An Erlang Implementation of Multiparty Session Actors
in Electronic Proceedings in Theoretical Computer Science
Foukas X
(2016)
FlexRAN
Fleming H
(2018)
Dual purpose fibre - SERS pH sensing and bacterial analysis.
in The Analyst
Feltrin L
(2019)
Narrowband IoT: A Survey on Downlink and Uplink Perspectives
in IEEE Wireless Communications
Fan W
(2019)
Dynamic scaling for parallel graph computations
in Proceedings of the VLDB Endowment
Fan W
(2020)
Capturing associations in graphs
in Proceedings of the VLDB Endowment
Fan W
(2020)
Application Driven Graph Partitioning
Faldu P
(2016)
LLC Dead Block Prediction Considered Not Useful
Ehrlich K
(2017)
pH sensing through a single optical fibre using SERS and CMOS SPAD line arrays.
in Optics express
Ehrlich K
(2020)
Time-Resolved Spectroscopy of Fluorescence Quenching in Optical Fibre-Based pH Sensors.
in Sensors (Basel, Switzerland)
Edwards Harrison
(2015)
Censoring Representations with an Adversary
in arXiv e-prints
Edwards H
(2016)
Censoring Representations with an Adversary
Eduardo S
(2016)
Data Cleaning using Probabilistic Models of Integrity Constraints
De Moliner F
(2018)
Quinone-Derived p-Extended Phenazines as New Fluorogenic Probes for Live-Cell Imaging of Lipid Droplets.
in Frontiers in chemistry
Dananjaya M
(2020)
Lazy Release Persistency
Damonte M
(2017)
An Incremental Parser for Abstract Meaning Representation
Cummins C
(2016)
Autotuning OpenCL Workgroup Size for Stencil Patterns
Cummins C
(2017)
Synthesizing benchmarks for predictive modeling
Cummins C
(2017)
End-to-End Deep Learning of Optimization Heuristics
Cummins C
(2017)
Synthesizing benchmarks for predictive modeling
Description | Equipment account to support the EPSRC and MRC Centre for Doctoral Training in Optical Medical Imaging (OPTIMA): The equipment provided to support OPTIMA has been invaluable in fostering interdisciplinary collaborations and bringing physical sciences together with biomedical applications. The majority of the equipment bought with this grant has been sited at the Queen's Medical Research Institute and so has been invaluable in enabling precise fluorescence, Raman spectroscopy and other optical measurements to take place in the setting of biomedical research labs. This has facilitated interactions between the chemists, engineers and clinicians involved in OPTIMA research. The research domains of the CDTs in Pervasive Parallelism and Data Science are both inherently quite broad (eg hence the "Pervasive" in the title), and each published paper makes it contribution in a more constrained sub-area. It is noteworthy that many of these have been made in top-tier publication venues, including HPCA, NIPS, ASPLOS, CGO and EUROSYS, in some instances winning best paper awards. These results relied upon the existence of the equipment provided by this grant. |
Exploitation Route | The CDTs are very diverse - component research projects may be taken forward by future destinations of our graduates, and by further projects sparked by interactions at our academic and industrial events. |
Sectors | Digital/Communication/Information Technologies (including Software),Electronics,Energy |
URL | http://web.inf.ed.ac.uk/infweb/student-services/cdt/ds |
Description | As in previous years, research findings presented in the many papers listed have all been delivered at international venues. Additionally, they have formed the basis of student presentations at a string of CDT industrial engagement events. These have sparked interactions which have led to numerous internships in industry. Within Informatics, these internships are a primary means of dissemination of research results beyond academia, both during the internship and often subsequently in the permanent employment which flows from them. In the EPSRC and MRC CDT in Optical Medical Imaging, access to equipment has driven new collaborations between physical sciences and biomedical sciences (>40 new collaborations). |