Abstract: The present invention provides a method for compressing genome sequences readers using GPU processing unit. The method comprising the steps of: identifying position of each given genome reader characters string in the sequence of a reference genome, determining alignment of each reader string within the reference genome, comparing each reader characters string to corresponding reference genome sequence based on determined alignment, filtering characters in each reader by GPU processor by eliminating similar characters and extracting only characters differences in association to their position in the genome sequence and recording filtered data of each reader in association to its alignment in genome reference at the genome compressed database.

Abstract: The present invention discloses a method for real time execution of SQL queries on data stream using HWA units. The method comprising the step of: receiving data stream and injecting directly in to the one more HWA units, receiving SQL query and identifying SQL query type, statistically real time analyzing multiple data streams and calculating statistics coefficients and characteristics of data stream, creating metadata based on statistical analysis in case the calculated statistics coefficients and characteristics obey predefined rules and using created metadata for SQL execution based on SQL identified SQL type in case the calculated statistics coefficients and characteristics obey predefined rules. The steps of statistical data analysis and creation of meta data are performed by the HWA.

Abstract: The present invention discloses a method for executing an SQL operator on compressed data chunk. The method comprising the step of: receiving SQL operator, accessing compressed data chunk blocks, receive e full set of derivatives of the compression scheme, check compression rules based on the compression scheme and relevant operator for approving SQL operation on compressed data and in case of approval applying respective SQL operator on relevant compressed data chunks.

Abstract: The invention relates to a system for parallel execution of database queries over one or more Central Processing Units (CPUs), and one or more Multi Core Processor, (MCPs), the system comprises (a) a query analyzer for dividing the query to plurality of sub-queries, and for computing and assigning to each sub-query a target address of either a CPU of an MCP; (b) a query compiler for creating an Abstract Syntax Tree (AST) and OpenCL primitives only for those sub-queries that are targeted to an MCP, and for conveying both the remaining sub-queries, and the AST and the OpenCL code to a virtual machine, and (A) a Virtual Machine (VM) which comprises: a task bank, a buffers; a scheduler. The virtual machine combines said sub-query results by the CPUs and said primitive results by said MCPs to a final query result.

Abstract: The invention relates to a system for parallel execution of database queries over one or more Central Processing Units (CPUs), and one or more Multi Core Processor, (MCPs), the system comprises (a) a query analyzer for dividing the query to plurality of sub- queries, and for computing and assigning to each sub-query a target address of either a CPU of an MCP; (b) a query compiler for creating an Abstract Syntax Tree (AST) and OpenCL primitives only for those sub-queries that are targeted to an MCP, and for conveying both the remaining sub-queries, and the AST and the OpenCL code to a virtual machine, and (A) a Virtual Machine (VM) which comprises: a task bank, a buffers; a scheduler. The virtual machine combines said sub-query results by the CPUs and said primitive results by said MCPs to a final query result.