Abstract: Embodiments of the disclosure include a method for partitioning a deterministic finite automaton (DFA) into a plurality of groups. The method includes selecting, with a processing device, a subset of the plurality of states and mapping each state of the subset onto a group of the plurality of groups by assigning one or more transition rules associated with each state to a rule line of the group, wherein each rule line is assigned at most two transition rules and an extended address associated with one of the at most two transition rules. The method also includes iteratively processing each state of the subset mapped onto the group by removing the extended address from each rule line in the group with transition rules referring to a current state if the transition rules in the rule line branch within the group.

Abstract: A processing device includes an execute processor configured to execute data processing instructions; and an access processor configured to be coupled with a memory system to execute memory access instructions; wherein the execute processor and the access processor are logically separated units, the execute processor having an execute processor input register file with input registers, and a data processing instruction is executed as soon as all operands for the respective data processing instruction are available in the input registers.

Abstract: Methods, systems and computer program products are disclosed for detecting patterns in a data stream that match multi-pattern rules. One embodiment of the invention provides a method of recognizing a specified group of patterns in a data stream. The method comprises identifying a rule for said specified group of patterns in the data stream, and using a first array of finite state machines to scan the data stream for at least some of the patterns in the specified group. For patterns in the specified group that are found in the data stream by the first array of finite state machines, pattern identifiers are sent to a second array of finite state machines. The second array of finite state machines determines if the specified group of patterns is in the data stream in accordance with the identified rule by, at least in part, using said pattern identifiers.

Abstract: A pattern matching accelerator (PMA) for assisting software threads to find the presence and location of strings in an input data stream that match a given pattern. The patterns are defined using regular expressions that are compiled into a data structure comprised of rules subsequently processed by the PMA. The patterns to be searched in the input stream are defined by the user as a set of regular expressions. The patterns to be searched are grouped in pattern context sets. The sets of regular expressions which define the pattern context sets are compiled to generate a rules structure used by the PMA hardware. The rules are compiled before search run time and stored in main memory, in rule cache memory within the PMA or a combination thereof. For each input character, the PMA executes the search and returns the search results.

Abstract: A pattern matching accelerator (PMA) for assisting software threads to find the presence and location of strings in an input data stream that match a given pattern. The patterns are defined using regular expressions that are compiled into a data structure comprised of rules subsequently processed by the PMA. The patterns to be searched in the input stream are defined by the user as a set of regular expressions. The patterns to be searched are grouped in pattern context sets. The sets of regular expressions which define the pattern context sets are compiled to generate a rules structure used by the PMA hardware. The rules are compiled before search run time and stored in main memory, in rule cache memory within the PMA or a combination thereof. For each input character, the PMA executes the search and returns the search results.

Abstract: A method, apparatus, and computer program product for performing an FFT computation. The method includes: providing first and second input data elements in multiple memory areas of a memory unit; in each of a number of consecutive computation stages, performing multiple butterfly operations based on a first and second input data element to obtain two output data elements, wherein first and second input data elements for a plurality of multiple butterfly operations are simultaneously retrieved from predetermined memory locations of a first and second of memory areas; for each stage, storing two output data elements in the memory unit as input data elements for a next stage according to a mapping scheme configured to store output data elements at memory locations in first and second memory areas so that they are simultaneously retrievable as input data elements for a plurality of butterfly operations of subsequent computation stage.

Abstract: An apparatus and method for analyzing a network flow. The apparatus includes a parser for extracting flow identification information from the network flow, a flow metering unit, and a programmable controller. The parser and flow metering unit are controlled in parallel by the programmable controller, the programmable controller is implemented as state machine, and the state machine includes a transition rule memory, a rule selector, and a state register. The rule selector is configured for receiving an external input signal and an internal input signal from the state register. The rule selector is also configured for observing the internal and external input signal via the transition rule memory.

Abstract: A data path for streaming data includes a plurality of sequential data registers, each of the plurality of sequential data registers comprising a plurality of data fields, wherein the streaming data moves sequentially through the sequential data registers; and a multiplexing unit, the multiplexing unit configured such that the multiplexing unit has access to each of the plurality of data fields of the plurality of sequential data registers, and wherein the multiplexing unit is configured to extract data from the streaming data as the streaming data moves through the sequential data registers in response to a data request.

Abstract: A pattern matching accelerator (PMA) for assisting software threads to find the presence and location of strings in an input data stream that match a given pattern. The patterns are defined using regular expressions that are compiled into a data structure comprised of rules subsequently processed by the PMA. The patterns to be searched in the input stream are defined by the user as a set of regular expressions. The patterns to be searched are grouped in pattern context sets. The sets of regular expressions which define the pattern context sets are compiled to generate a rules structure used by the PMA hardware. The rules are compiled before search run time and stored in main memory, in rule cache memory within the PMA or a combination thereof. For each input character, the PMA executes the search and returns the search results.

Abstract: Embodiments of the disclosure include a method for partitioning a deterministic finite automaton (DFA) into a plurality of groups. The method includes selecting, with a processing device, a subset of the plurality of states and mapping each state of the subset onto a group of the plurality of groups by assigning one or more transition rules associated with each state to a rule line of the group, wherein each rule line is assigned at most two transition rules and an extended address associated with one of the at most two transition rules. The method also includes iteratively processing each state of the subset mapped onto the group by removing the extended address from each rule line in the group with transition rules referring to a current state if the transition rules in the rule line branch within the group.

Abstract: A method of operating a packet parser in a computing system includes providing a configurable packet pointer by the packet parser, the packet pointer configured to index a configurable number of atomic parsing elements, the atomic parsing elements having a configurable size, in a data stream received by the computing system for extraction, wherein the indexed atomic parsing elements are non-contiguous in the data stream; and receiving the extracted indexed atomic parsing elements from the data stream by the packet parser.

Abstract: Methods, systems and computer program products are disclosed for detecting patterns in a data stream that match multi-pattern rules. One embodiment of the invention provides a method of recognizing a specified group of patterns in a data stream. The method comprises identifying a rule for said specified group of patterns in the data stream, and using a first array of finite state machines to scan the data stream for at least some of the patterns in the specified group. For patterns in the specified group that are found in the data stream by the first array of finite state machines, pattern identifiers are sent to a second array of finite state machines. The second array of finite state machines determines if the specified group of patterns is in the data stream in accordance with the identified rule by, at least in part, using said pattern identifiers.

Abstract: An interfacing apparatus and related method is provided for configuring to couple a plurality of memory devices being addressable by means of an address space to a processing unit. In one embodiment, the apparatus comprises a first memory access unit being adapted for receiving a memory address from said processing unit and for accessing said memory devices accordingly based on the address provided. It also comprises a second memory access unit being adapted for receiving content data from the processing unit and for controlling a search or update function accordingly for the received content data in one or more of the memory devices. In addition, an allocation unit is also provided for allocating a first part of the address space of the memory devices to said first memory access unit and allocating a second part of the address space of said memory devices to the second memory access unit, each of the memory access units being assigned to corresponding memory devices of the plurality of memory devices.

Abstract: A pattern matching accelerator (PMA) for assisting software threads to find the presence and location of strings in an input data stream that match a given pattern. The patterns are defined using regular expressions that are compiled into a data structure comprised of rules subsequently processed by the PMA. The patterns to be searched in the input stream are defined by the user as a set of regular expressions. The patterns to be searched are grouped in pattern context sets. The sets of regular expressions which define the pattern context sets are compiled to generate a rules structure used by the PMA hardware. The rules are compiled before search run time and stored in main memory, in rule cache memory within the PMA or a combination thereof. For each input character, the PMA executes the search and returns the search results.

Abstract: A computer program product comprising a computer readable storage medium containing computer code that, when executed by a computer, implements a method for transforming a finite state automaton (FSA) of a regular expression, wherein the method includes determining, by a computer, a first subexpression R1 and a second subexpression R2 in the regular expression; calculating an overlap FSA, the overlap FSA configured to determine the existence of a partial overlap or a full overlap between the first subexpression R1 and the second subexpression R2; determining whether the overlap FSA has an accepting state; and in the event the overlap FSA is determined not to have an accepting state, determining that the transformation of the regular expression is safe, and constructing a transformed FSA of the regular expression comprising a first FSA for the first subexpression R1 and a second FSA for the second subexpression R2.

Abstract: Methods, systems and computer program products are disclosed for detecting patterns in a data stream that match multi-pattern rules. One embodiment of the invention provides a method of recognizing a specified group of patterns in a data stream. The method comprises identifying a rule for said specified group of patterns in the data stream, and using a first array of finite state machines to scan the data stream for at least some of the patterns in the specified group. For patterns in the specified group that are found in the data stream by the first array of finite state machines, pattern identifiers are sent to a second array of finite state machines. The second array of finite state machines determines if the specified group of patterns is in the data stream in accordance with the identified rule by, at least in part, using said pattern identifiers.

Abstract: Deterministic finite automaton (DFA) minimization includes representing a DFA as a data structure including a plurality of states, incoming transitions for each state, and outgoing transitions for each state. A state of the plurality of states is selected as a selected state. The incoming transitions are analyzed for the selected state. A computer determines whether source states of the incoming transitions for the selected state include a pair of equivalent states. The pair of equivalent states is merged based on determining that two of the source states of the incoming transitions for the selected state form the pair of equivalent states.

Abstract: Deterministic finite automaton (DFA) minimization includes representing a DFA as a data structure including a plurality of states, incoming transitions for each state, and outgoing transitions for each state. A state of the plurality of states is selected as a selected state. The incoming transitions are analyzed for the selected state. A computer determines whether source states of the incoming transitions for the selected state include a pair of equivalent states. The pair of equivalent states is merged based on determining that two of the source states of the incoming transitions for the selected state form the pair of equivalent states.

Abstract: A computer-implemented method for transforming a finite state automaton (FSA) of a regular expression includes determining, by a computer, a first subexpression R1 and a second subexpression R2 in the regular expression; calculating an overlap FSA, the overlap FSA configured to determine the existence of a partial overlap or a full overlap between the first subexpression R1 and the second subexpression R2; determining whether the overlap FSA has an accepting state; and in the event the overlap FSA is determined not to have an accepting state, determining that the transformation of the regular expression is safe, and constructing a transformed FSA of the regular expression comprising a first FSA for the first subexpression R1 and a second FSA for the second subexpression R2.

Abstract: A computer program product comprising a computer readable storage medium containing computer code that, when executed by a computer, implements a method for transforming a finite state automaton (FSA) of a regular expression, wherein the method includes determining, by a computer, a first subexpression R1 and a second subexpression R2 in the regular expression; calculating an overlap FSA, the overlap FSA configured to determine the existence of a partial overlap or a full overlap between the first subexpression R1 and the second subexpression R2; determining whether the overlap FSA has an accepting state; and in the event the overlap FSA is determined not to have an accepting state, determining that the transformation of the regular expression is safe, and constructing a transformed FSA of the regular expression comprising a first FSA for the first subexpression R1 and a second FSA for the second subexpression R2.