Abstract: Memory architecture provides capabilities for high performance content search. The architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules programmed in the Programmable Intelligent Search Memory (PRISM) action(s) associated with the matched rule(s) are taken. Content search rules comprise of regular expressions which are converted to finite state automata (FSA) and then programmed in PRISM for evaluating content with the search rules. PRISM architecture comprises of a plurality of programmable PRISM Memory clusters (PMC) which comprise of a plurality of programmable PRISM Search Engines (PSE). Groups of PMCs can be programmed with the same rules and used in parallel to apply these rules to multiple data streams simultaneously to achieve increased performance.

Abstract: Memory architecture provides capabilities for high performance content search. The architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules programmed in the Programmable Intelligent Search Memory (PRISM) action(s) associated with the matched rule(s) are taken. Content search rules comprise of regular expressions which are converted to finite state automata (FSA) and then programmed in PRISM for evaluating content with the search rules. PRISM architecture comprises of a plurality of programmable PRISM Search Engines (PSE) organized in PRISM memory clusters that are used simultaneously to search content presented to PRISM. A context switching architecture enables transitioning of PSE states between different input contexts.

Abstract: Memory architecture provides capabilities for high performance content search. The architecture creates an innovative memory derived using randomly accessible dynamic memory circuits that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules programmed in the dynamic Programmable Intelligent Search Memory (PRISM) action(s) associated with the matched rule(s) are taken. Content search rules comprise of regular expressions which are converted to finite state automata and then programmed in dynamic PRISM for evaluating content with the search rules.

Abstract: Disclosed are systems employing an architecture that provides capabilities to transport and process Internet Protocol (IP) packets from Layer 2 through transport protocol processing and may also perform packet inspection through Layer 7. A set of engines may perform passthrough packet classification, policy processing and/or security processing enabling packet streaming through the architecture at nearly the full line rate. A scheduler schedules packets to packet processors for processing. An internal memory or local session database cache stores a session information database for a certain number of active sessions. The session information that is not in the internal memory is stored and retrieved to/from an additional memory. An application running on an initiator or target can in certain instantiations register a region of memory, which is made available to its peer(s) for access directly without substantial host intervention through RDMA data transfer.

Abstract: Memory architecture provides capabilities for high performance content search. The architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules programmed in the Programmable Intelligent Search Memory (PRISM) action(s) associated with the matched rule(s) are taken. Content search rules comprise of regular expressions which are converted to finite state automata and then programmed in PRISM for evaluating content with the search rules.

Abstract: Memory architecture provides capabilities for high performance content search. The architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules programmed in the Programmable Intelligent Search Memory (PRISM) action(s) associated with the matched rule(s) are taken. Content search rules comprise of regular expressions which are converted to finite state automata (FSA) and then programmed in PRISM for evaluating content with the search rules. PRISM architecture comprises of a plurality of programmable PRISM Memory clusters (PMC) which comprise of a plurality of programmable PRISM Search Engines (PSE). Groups of PMCs can be programmed with the same rules and used in parallel to apply these rules to multiple data streams simultaneously to achieve increased performance.

Abstract: Memory architecture provides capabilities for high performance content search. The architecture creates an innovative memory derived using randomly accessible dynamic memory circuits that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules programmed in the dynamic Programmable Intelligent Search Memory (PRISM) action(s) associated with the matched rule(s) are taken. Content search rules comprise of regular expressions which are converted to finite state automata and then programmed in dynamic PRISM for evaluating content with the search rules.

Abstract: Memory architecture provides capabilities for high performance content search. The architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules programmed in the Programmable Intelligent Search Memory (PRISM) action(s) associated with the matched rule(s) are taken. Content search rules comprise of regular expressions which are converted to finite state automata (FSA) and then programmed in PRISM for evaluating content with the search rules. PRISM architecture comprises of a plurality of programmable PRISM Search Engines (PSE), each capable of supporting a predetermined size FSAs. FSA extension architecture is created to extend the predetermined size limit of an FSA supported by PSE, by coupling multiple PSEs together to behave as a composite PSE to support larger FSAs.

Abstract: Memory architecture provides capabilities for high performance content search. The architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules programmed in the Programmable Intelligent Search Memory (PRISM) action(s) associated with the matched rule(s) are taken. Content search rules comprise of regular expressions which are converted to finite state automata and then programmed in PRISM for evaluating content with the search rules.

Abstract: Memory architecture provides capabilities for high performance content search. The architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules programmed in the Programmable Intelligent Search Memory (PRISM) action(s) associated with the matched rule(s) are taken. Content search rules comprise of regular expressions which are converted to finite state automata (FSA) and then programmed in PRISM for evaluating content with the search rules. PRISM architecture comprises of a plurality of programmable PRISM Search Engines (PSE) organized in PRISM memory clusters that are used simultaneously to search content presented to PRISM. A context switching architecture enables transitioning of PSE states between different input contexts.

Abstract: Memory architecture provides capabilities for high performance content search using regular expressions and patterns of strings. The architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules programmed in the Programmable Intelligent Search Memory (PRISM) action(s) associated with the matched rule(s) are taken. Content search rules comprise of regular expressions which are converted to finite state automata and then programmed in PRISM for evaluating content with the search rules. The PRISM memory provides features for complex regular expression symbols like interval symbol, range detection, complement control, bit masking and the like and enables complex symbols and compact regular expression representation.

Abstract: Memory architecture provides capabilities for high performance content search. The architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. Content search rules include of regular expressions which are compiled to finite state automata (FSA) and further include of patterns of strings a first set of which are compiled to a compressed signature database and a second set of which are compiled into FSAs. The finite state automata are then programmed in Programmable Intelligent Search Memory (PRISM) programmable FSA rule blocks and the compressed signature database is programmed in the PRISM signature search engines for evaluating content with the content search rules. A compiler compiles the content search rules for evaluation by PRISM memory.

Abstract: Memory architecture provides capabilities for high performance content search. The architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules programmed in the Programmable Intelligent Search Memory (PRISM) action(s) associated with the matched rule(s) are taken. Content search rules comprise of regular expressions which are converted to finite state automata and then programmed in PRISM for evaluating content with the search rules. The PRISM memory provides features for complex regular expression symbols like range detection, complement control, bit masking and the like and enables complex symbols and compact regular expression representation.

Abstract: An IP Storage processor and processing engines for use in the IP storage processor is disclosed. The IP Storage processor uses an architecture that may provide capabilities to transport and process Internet Protocol (IP) packets from Layer 2 through transport protocol layer and may also perform packet inspection through Layer 7. The engines may perform pass-through packet classification, policy processing and/or security processing enabling packet streaming through the architecture at nearly the full line rate. A scheduler schedules packets to packet processors for processing. An internal memory or local session database cache may store a transport protocol session information database and/or store a storage information session database, for a certain number of active sessions. The session information that is not in the internal memory is stored and retrieved to/from an additional memory.

Abstract: Memory architecture provides capabilities for high performance content search using regular expressions and patterns of strings. The architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules programmed in the Programmable Intelligent Search Memory (PRISM) action(s) associated with the matched rule(s) are taken. Content search rules include of regular expressions which are converted to finite state automata and then programmed in PRISM for evaluating content with the search rules. The PRISM memory provides features for complex regular expression symbols like interval symbol, range detection, complement control, bit masking and the like and enables complex symbols and compact regular expression representation.

Abstract: Memory architecture provides capabilities for high performance content search. The architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. Content search rules include of regular expressions which are compiled to finite state automata (FSA) and further include of patterns of strings a first set of which are compiled to a compressed signature database and a second set of which are compiled into FSAs. The finite state automata are then programmed in Programmable Intelligent Search Memory (PRISM) programmable FSA rule blocks and the compressed signature database is programmed in the PRISM signature search engines for evaluating content with the content search rules. A compiler compiles the content search rules for evaluation by PRISM memory.

Abstract: Memory architecture provides capabilities for high performance content search. The architecture creates an innovative memory that can be programmed with content search rules which are used by the memory to evaluate presented content for matching with the programmed rules. When the content being searched matches any of the rules programmed in the Programmable Intelligent Search Memory (PRISM) action(s) associated with the matched rule(s) are taken. Content search rules comprise of regular expressions which are converted to finite state automata and then programmed in PRISM for evaluating content with the search rules. The PRISM memory provides features for complex regular expression symbols like range detection, complement control, bit masking and the like and enables complex symbols and compact regular expression representation.

Abstract: A runtime adaptable search processor is disclosed. The search processor provides high speed content search capability to meet the performance need of network line rates growing to 1 Gbps, 10 Gbps and higher. The search processor provides a unique combination of NFA and DFA based search engines that can process incoming data in parallel to perform the search against the specific rules programmed in the search engines. The processor architecture also provides capabilities to transport and process Internet Protocol (IP) packets from Layer 2 through transport protocol layer and may also provide packet inspection thrugh Layer 7. Further, a runtime adaptable processor is coupled to the protocol processing hardware and may be dynamically adapted to perform hardware tasks as per the needs of the network traffic being sent or received and/or the policies programmed or services or applications being supported.

Abstract: An IP Storage processor and processing engines for use in the IP storage processor is disclosed. The IP Storage processor uses an architecture that may provide capabilities to transport and process Internet Protocol (IP) packets from Layer 2 through transport protocol layer and may also perform packet inspection through Layer 7. The engines may perform pass-through packet classification, policy processing and/or security processing enabling packet streaming through the architecture at nearly the full line rate. A scheduler schedules packets to packet processors for processing. An internal memory or local session database cache may store a transport protocol session information database and/or store a storage information session database, for a certain number of active sessions. The session information that is not in the internal memory is stored and retrieved to/from an additional memory.

Abstract: The present invention relates to new polymers that contain repeat units of phenol and photoacid-labile esters that contain an alicyclic group, preferably a bulky group that suitably may contain 7 to about 20 carbons, such as an alkyladamantyl, ethylfencyl, tricyclo decanyl, or pinanyl group. Polymers of the invention are useful as a component of chemically-amplified positive-acting resists.