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Heterogeneity in computing systems is clearly increasing, especially as “accelerators” burrow deeper and deeper into different parts of an architecture. What is new, however, is a rapid change in not only the number of such heterogeneous processors, but ...

For adaptive streaming applications, low-complexity and accurate video complexity features are necessary to analyze the video content in real time, which ensures fast and compression-efficient video streaming without disruptions. State-of-the-art ...

For online analysis of the video content complexity in live streaming applications, selecting low-complexity features is critical to ensure low-latency video streaming without disruptions. To this light, for each video (segment), two features, i.e., the ...

Deep Learning Models such as Convolution Neural Networks (CNNs) have shown great potential in various applications. However, these techniques will face regulatory compliance challenges related to privacy of user data, especially when they are deployed ...

Deep learning models such as Convolutional Neural Networks (CNNs) have shown the potential to classify medical images for accurate diagnosis. These techniques will face regulatory compliance challenges related to privacy of user data, especially when ...

The Tor anonymity network has millions of daily users and thousands of volunteer-run relays. Increasing the number of Tor users will enhance the privacy of not just new users, but also existing users by increasing their anonymity sets. However, growing ...

The development of KV-SSDs allows simplifying the I/O stack compared to the traditional block-based SSDs. We propose a novel Key-Value-based Storage infrastructure for Parallel Computing(KV-SiPC)-a framework for multi-thread OpenMP applications to use ...

In highly dynamic environments, systems are expected to make decisions on the fly based on their observations that are bound to be partial. As such, the reasons for its runtime behaviour may be difficult to understand. In these cases, accountability is ...

Field Programmable Gate Arrays (FPGAs) are becoming an appealing technology in datacenters and High Performance Computing. High-Level Synthesis (HLS) of multi-threaded parallel programs is increasingly used to extract parallelism. Despite great leaps ...

This paper compares two popular multi-threading paradigms: reactive programming and continuation-passing style as today there are many software paradigms which could be replaced by each other, and programmers sometimes have dilemma which one to choose. ...

In recent years, with the development of embedded software, the demand for context-aware software and the need for Context-Oriented Programming (COP) frameworks is increasing. In general, within the COP framework, each method is managed in units of ...

Nowadays, advanced smart mobile devices equipped with multi‐core central processing units for handling multithreaded (MT) applications. However, existing research mainly uses single‐thread (ST) computing to deal with applications, which limits the ...

This work introduces Single Instruction Multi-Thread Express (SIMT-X), a general-purpose Central Processing Unit (CPU) microarchitecture that enables Graphics Processing Units (GPUs)-style SIMT execution across multiple threads of the same program for ...

Many big data processing applications rely on a top-k retrieval building block, which selects (or approximates) the k highest-scoring data items based on an aggregation of features. In web search, for instance, a document's score is the sum of its ...

Large-scale modeling and simulation (M&S) applications that do not require run-time inter-process communications can exhibit scaling problems when migrated to high-performance computing (HPC) clusters if traditional software parallelization techniques, ...

Existing deterministic replay techniques propose strategies which attempt to reduce record log sizes and achieve successful replay. However, these techniques still generate large logs and achieve replay only under certain conditions. We propose a ...

Modern multi‐core mobile devices are the main application objects of mobile cloud computing (MCC). In previous works, researchers have formulated various heuristic algorithms to solve the NP problem. This work combines MCC with multi‐threaded computing (...

Undergraduate or novice programmers are often challenged by higher-level and abstract concepts in programming courses. Compared to constructing a sequential program, parallel and concurrent programming requires a different and more complex mental model ...

Recent work has established Lagrangian relaxation (LR) based gate sizing as state-of-the-art providing the best power reduction with low run time. Gate sizing has limited potential to reduce the power when the timing constraints are tight. By adjusting ...

Deterministic multithreading (DMT) fundamentally requires total, deterministic ordering of synchronization operations on each synchronization variable, i.e. a partial ordering over all synchronization operations. In practice, prior DMT systems totally ...