Data-intensive applications and throughput-oriented processors demand more memory bandwidth. Memory compression can provide data beyond physical limits, yet new types smaller block sizes are challenging. This paper presents a novel lightweight framework, Multi-Prediction Compression (MPC), to increase the effective Based on multiple prediction models data-driven algorithm tuning, MPC 31.7% bett...

The PROMOTER programming language is designated for data parallel applications that are to run on massively parallel computers with distributed memory. This paper presents an object-oriented implementation model for the PROMOTER language. An object-oriented approach to compile data-parallel programs to message passing programs can reduce design complexity, facilitate reuse of components, and ea...

Programming shared-memory multiprocessor systems is becoming increasingly difficult as the gap between memory speed and processor speed increases. At the same time, this class of computer—based on standard microprocessors—is becoming increasingly common as an alternative to traditional mainframes and supercomputers. Programs that are not sympathetic to caches can perform poorly on such systems....

Dynamic performance stubs provide a framework for the simulation of the performance behavior of software modules and functions. Stubs can be used for a cost-benefit analysis of the gain from performance optimization and therefore, for a gain oriented performance improvement, and can be also be used to identify “hidden” bottlenecks and the most relevant candidates for optimization. This paper ev...

As defense solutions against control-flow hijacking attacks gain wide deployment, control-oriented exploits from memory errors become difficult. As an alternative, attacks targeting non-control data do not require diverting the application’s control flow during an attack. Although it is known that such data-oriented attacks can mount significant damage, no systematic methods to automatically co...

Control oriented implementations of neural network models and memory-based models are developed and compared. These techniques model the spectral data from instruments as opposed to the physical sound production mechanism. Both model types are for real-time control and use controller inputs such as pitch, loudness, and brightness functions to produce frequencies and amplitudes for sinusoidal co...

Castegren, E. 2018. Capability-Based Type Systems for Concurrency Control. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1611. 106 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-513-0187-7. Since the early 2000s, in order to keep up with the performance predictions of Moore's law, hardware vendors have had to turn to multi-core com...

Profiling is of great assistance in understanding and optimizing an application’s behavior. Today’s profiling techniques help developers focus on the pieces of code leading to the highest penalties according to a given performance metric. In this paper we describe a profiling tool we have developed by extending the Valgrind framework and one of its tools: Callgrind. Our extended profiling tool ...

Commodity hardware is available in configurations with huge amounts of main memory and it is viable to keep large databases of enterprises in the RAM of one or a few machines. Additionally, a reunification of transactional and analytical systems has been proposed to enable operational reporting on the most recent data. In-memory column stores appeared in academia and industry as a solution to h...