Software and Hardware for Distributed Systems and Supercomputers

Article # 19_2017

30 p.

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N. S. Zhivchikova, Y. V. Shevchuk
Riak KV performance in sensor data storage application

A sensor data storage system is an important part of data analysis systems. The duty of sensor data storage is to accept time series data from remote sources, store them and provide access to retrospective data on demand. As the number of sensors grows, the storage system scaling becomes a concern.
In this article we experimentally evaluate Riak KV—a scalable distributed key-value data store as a backend for a sensor data storage system. (In Russian)

Key words:  sensor data, write performance, distributed storage, time series, Riak, Erlang.

DOI

Article # 25_2017

30 p.

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Boris Shteinberg, Oleg Shteinberg, Yurii Mikhailuts, Anton Baglii, Denis Dubrov, Roman Shteinberg
Classification of loops with one statement for executing on the processor with programmable accelerator

The classification of program cycles for an optimizing compiler for a processor with a programmable accelerator is considered. Such a processor can be a system on a crystal that contains both computational cores and a programmable circuit. The programmable accelerator is tuned to the architecture of the reconfigurable pipeline.
The classification according to regular information dependencies is specified. For each class of cycles, the possibility of pipelining is considered. If immediate pipelining is impossible, then the question discussed about transformations of such a cycle to a pipeline-type view using OPC (Optimizing the parallelizing system). Information dependencies in the loop affect the architecture of the pipeline that implements the loop.
The compiler differs from conventional by the presence of converter from a high level programming language to hardware description language. It should also have a library jf drivers for data transfer from the CPU to FPGA and back. Numerical experiment for one of the loop classes demonstrated a double acceleration. (In Russian).

Key words:  Loop classification, data dependencies, reconfigurable architecture, pipeline computations, parallelizing compiler, high-level internal representation, FPGA, HDL.

DOI