Theses - Department of Computer Engineering
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A media caching approach utilizing social groups information in 5G edge networks
(Bilkent University, 2021-03)Increased demand for media content by mobile applications has imposed huge pressure on wireless cellular networks to deliver the content efficiently and ef-fectively. To keep up with this demand, mobile edge computing (MEC), ... -
Performance improvement on latency-bound parallel HPC applications by message sharing between processors
(Bilkent University, 2021-02)The performance of paralellized High Performance Computing (HPC) applica-tions is tied to the efficiency of the underlying processor-to-processor commu-nication. In latency-bound applications, the performance runs into ... -
General reuse-centric CNN accelerator
(Bilkent University, 2021-02)Reuse-centric CNN acceleration speeds up CNN inference by reusing computa-tions for similar neuron vectors in CNN’s input layer or activation maps. This new paradigm of optimizations is however largely limited by the ... -
PAMOGK-Web: a framework for cancer subtype identification using copy number variatıons
(Bilkent University, 2021-02)Detection of molecular sub-groups of cancer is important for developing cancer therapeutics and to understand the underlying causes of the molecular differences in these groups. The cancer sequencing projects made multi-omics ... -
Large structural variation discovery using long reads with several degrees of error
(Bilkent University, 2021-01)Genomic structural variations (SVs) are briefly defined as large-scale alterations of DNA content, copy, and organization. Although significant progress has been made since the introduction of high throughput sequencing (HTS) ... -
Analyzing developer contributions using artifact traceability graphs
(Bilkent University, 2021-02)Software artifacts are the by-products of the development process. Throughout the life cycle of a project, developers produce different artifacts such as source files and bug reports. To analyze developer contributions, we ... -
OpenCL-based efficient HLS implementation of iterative graph algorithms on FPGA
(Bilkent University, 2021-01)The emergence of CPU-FPGA hybrid architectures creates a demand for high abstraction programming tools such as High-Level Synthesis (HLS). HLS handles most of the FPGA development tasks automatically, thus freeing up ... -
Self-supervised representation learning with graph neural networks for region of interest analysis in breast histopathology
(Bilkent University, 2021-01)Deep learning has made a major contribution to histopathology image analysis with representation learning outperforming hand-crafted features. However, two notable challenges remain. The first is the lack of large ... -
Weakly supervised approaches for image classification in remote sensing and medical image analysis
(Bilkent University, 2021-01)Weakly supervised learning (WSL) aims to utilize data with imprecise or noisy annotations to solve various learning problems. We study WSL approaches in two different domains: remote sensing and medical image analysis. For ... -
Text mining analysis of translation, social communication and literary writing for Turkish
(Bilkent University, 2021-01)Text mining is an important research area considering the increase in text generation and the need for analysis. Text mining in Turkish is still not a wellinvested research area, compared to the other languages. In this ... -
Accelerating pagerank with a heterogeneous two phase CPU-FPGA algorithm
(Bilkent University, 2021-01)PageRank is a network analysis algorithm that is used to measure the importance of each vertex in a graph. Fundamentally it is a Sparse Matrix-Vector multiplication problem and suffers from the same bottlenecks, such as ... -
Bounding volume hierarchy-tetrahedralization hybrid acceleration structure for ray tracing
(Bilkent University, 2020-12)The computational cost of the ray-tracing method is directly proportional to the number of ray-surface intersection tests. The naive ray-tracing algorithm requires O(N) computational cost for the ray-surface intersection ... -
On the tradeoff between privacy and utility in genomic studies: differential privacy under dependent tuples
(Bilkent University, 2020-11)The rapid progress in genome sequencing and the decrease in the sequencing costs have led to the high availability of genomic data. Studying these data can greatly help answer the key questions about disease associations ... -
Deep learning for digital pathology
(Bilkent University, 2020-11)Histopathological examination is today’s gold standard for cancer diagnosis and grading. However, this task is time consuming and prone to errors as it requires detailed visual inspection and interpretation of a ... -
Multitask learning of gene risk for autism spectrum disorder and intellectual disability
(Bilkent University, 2020-11)Autism Spectrum Disorder (ASD) and Intellectual Disability (ID) are comorbid neurodevelopmental disorders with complex genetic architectures. Despite largescale sequencing studies only a fraction of the risk genes were ... -
Predicting informative spatio-temporal neurodevelopmental windows and gene risk for autism spectrum disorder
(Bilkent University, 2020-11)Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder with a strong genetic basis. Due to its intricate nature, only a fraction of the risk genes were identified despite the effort spent on large-scale ... -
Unsupervised concept drift detection using sliding windows: two contributions
(Bilkent University, 2020-10)Data stream mining has become an important research area over the past decade due to the increasing amount of data available today. Sources from various domains generate limitless volume of data in temporal order. Such ... -
A compound graph layout algorithm with support for ports
(Bilkent University, 2020-11)Information visualization is a eld of study that aims to represent abstract data in an aesthetically pleasing and easy to comprehend visual manner. Various approaches and standards have been created to reinforce the ... -
Scratch-pad memory based custom processor design for graph applications
(Bilkent University, 2020-09)As more and more domains have started to process ever-growing graphs, the importance of graph analytics applications became more apparent. However, general-purpose processors are challenged to deal with the large memory ... -
Custom hardware optimizations for reliable and high performance computer architectures
(Bilkent University, 2020-09)In recent years, we have witnessed a huge wave of innovations, such as in Artificial Intelligence (AI) and Internet-of-Things (IoT). In this trend, software tools are constantly and increasingly demanding more processing ...
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