Abstract: Associative processing memory (APM) may be used to align reads to a reference sequence. The APM may store shifted permutations and/or other permutations of the reference sequence. A read may be compared to some or all of the permutations of the reference sequence and the APM may provide an output for each comparison. In some examples, the APM may compare the read to many permutations of the reference sequence to the read in parallel. Inferences may be made based on the comparisons between the read and the portions and/or permutations of a reference sequence. Based on the inferences, a candidate alignment location in the reference sequence for a read to be determined.

Abstract: Associative processing memory (APM) may be used to align reads to a reference sequence. The APM may store shifted permutations and/or other permutations of the reference sequence. A read may be compared to some or all of the permutations of the reference sequence and the APM may provide an output for each comparison. In some examples, the APM may compare the read to many permutations of the reference sequence to the read in parallel. Inferences may be made based on the comparisons between the read and the portions and/or permutations of a reference sequence. Based on the inferences, a candidate alignment location in the reference sequence for a read to be determined.

Abstract: A memory controller and a physical interface layer may accommodate multiple memory types. In some examples, the memory controller and/or PHY may include a register that includes operating parameters for multiple operating modes. Different operating modes may be compatible with different memory types. In some examples, the memory controller and physical interface may be included in a system for testing multiple memory types. The system may provide multiple interfaces for communicating with the memory. The different communication types may be used for performing different tests and/or simulating different types of devices that may utilize the memory.

Abstract: A memory device may be used to implement a Bloom filter. In some examples, the memory device may include a memory array to perform a multiply-accumulate operation to implement the Bloom filter. The memory device may store multiple portions of a reference genetic sequence in the memory array and compare the portions of the reference genetic sequence to a read sequence in parallel by performing the multiply-accumulate operation. The results of the multiply-accumulate operation between the read sequence and the portions of the reference genetic sequence may be used to determine where the read sequence aligns to the reference sequence.

Abstract: A memory device may be used to implement a Bloom filter. In some examples, the memory device may include a memory array to perform a multiply-accumulate operation to implement the Bloom filter. The memory device may store multiple portions of a reference genetic sequence in the memory array and compare the portions of the reference genetic sequence to a read sequence in parallel by performing the multiply-accumulate operation. The results of the multiply-accumulate operation between the read sequence and the portions of the reference genetic sequence may be used to determine where the read sequence aligns to the reference sequence.

Abstract: Methods, systems, and devices for redundant computing across planes are described. A device may perform a computational operation on first data that is stored in a first plane that includes content-addressable memory cells. The first data may be representative of a set of contiguous bits of a vector. The device may perform, concurrent with performing the computational operation on the first data, the computational operation on second data that is stored in a second plane. The second data may be representative of the set of contiguous bits of the vector. The device may read from the first plane and write to the second plane, third data representative of a result of the computational operation on the first data.

Abstract: Methods, systems, and devices for redundant computing across planes are described. A device may perform a computational operation on first data that is stored in a first plane that includes content-addressable memory cells. The first data may be representative of a set of contiguous bits of a vector. The device may perform, concurrent with performing the computational operation on the first data, the computational operation on second data that is stored in a second plane. The second data may be representative of the set of contiguous bits of the vector. The device may read from the first plane and write to the second plane, third data representative of a result of the computational operation on the first data.

Abstract: A method, an apparatus, and a system have been disclosed. An embodiment of the method includes an autonomous memory device receiving a set of instructions, the memory device executing the set of instructions, combining the set of instructions with any data recovered from the memory device in response to the set of instructions into a packet, and transmitting the packet from the memory device.

Abstract: Apparatuses and methods for a distributed memory system including memory nodes are disclosed. An example apparatus includes a processor and a memory system coupled to the processor. The memory system is configured to receive instructions from the processor to access information stored by the memory system. The memory system includes a plurality of memory nodes, wherein each memory node of the plurality of memory nodes is coupled to at least one other memory node of the plurality of memory nodes, and each memory node of the plurality of memory nodes is configured to generate an internal message including instructions for an operation, the internal message to be provided to another memory node of the plurality of memory nodes to perform the operation.

Abstract: Apparatuses and methods for a distributed memory system including memory nodes are disclosed. An example apparatus includes a processor and a memory system coupled to the processor. The memory system is configured to receive instructions from the processor to access information stored by the memory system. The memory system includes a plurality of memory nodes, wherein each memory node of the plurality of memory nodes is coupled to at least one other memory node of the plurality of memory nodes, and each memory node of the plurality of memory nodes is configured to generate an internal message including instructions for an operation, the internal message to be provided to another memory node of the plurality of memory nodes to perform the operation.

Abstract: A method, an apparatus, and a system have been disclosed. An embodiment of the method includes an autonomous memory device receiving a set of instructions, the memory device executing the set of instructions, combining the set of instructions with any data recovered from the memory device in response to the set of instructions into a packet, and transmitting the packet from the memory device.

Abstract: Apparatuses and methods for a distributed memory system including memory nodes are disclosed. An example apparatus includes a processor and a memory system coupled to the processor. The memory system is configured to receive instructions from the processor to access information stored by the memory system. The memory system includes a plurality of memory nodes, wherein each memory node of the plurality of memory nodes is coupled to at least one other memory node of the plurality of memory nodes, and each memory node of the plurality of memory nodes is configured to generate an internal message including instructions for an operation, the internal message to be provided to another memory node of the plurality of memory nodes to perform the operation.

Abstract: A method, an apparatus, and a system have been disclosed. An embodiment of the method includes an autonomous memory device receiving a set of instructions, the memory device executing the set of instructions, combining the set of instructions with any data recovered from the memory device in response to the set of instructions into a packet, and transmitting the packet from the memory device.

Abstract: Methods and systems operate to receive a plurality of search requests for searching a database in a memory system. The search requests can be stored in a FIFO queue and searches can be subsequently generated for each search request. The resulting plurality of searches can be executed substantially in parallel on the database. A respective indication is transmitted to a requesting host when either each respective search is complete or each respective search has generated search results.

Abstract: Methods and systems operate to receive a plurality of search requests for searching a database in a memory system. The search requests can be stored in a FIFO queue and searches can be subsequently generated for each search request. The resulting plurality of searches can be executed substantially in parallel on the database. A respective indication is transmitted to a requesting host when either each respective search is complete or each respective search has generated search results.

Abstract: A method, an apparatus, and a system have been disclosed. An embodiment of the method includes an autonomous memory device receiving a set of instructions, the memory device executing the set of instructions, combining the set of instructions with any data recovered from the memory device in response to the set of instructions into a packet, and transmitting the packet from the memory device.

Abstract: Methods and systems operate to receive a plurality of search requests for searching a database in a memory system. The search requests can be stored in a FIFO queue and searches can be subsequently generated for each search request. The resulting plurality of searches can be executed substantially in parallel on the database. A respective indication is transmitted to a requesting host when either each respective search is complete or each respective search has generated search results.

Abstract: Apparatuses and methods for a distributed memory system including memory nodes are disclosed. An example apparatus includes a processor and a memory system coupled to the processor. The memory system is configured to receive instructions from the processor to access information stored by the memory system. The memory system includes a plurality of memory nodes, wherein each memory node of the plurality of memory nodes is coupled to at least one other memory node of the plurality of memory nodes, and each memory node of the plurality of memory nodes is configured to generate an internal message including instructions for an operation, the internal message to be provided to another memory node of the plurality of memory nodes to perform the operation.

Abstract: Online prediction techniques based on data compression principles are employed to make predictions in restricted memory environments. Predictors have data structures in the form of trees that are paged and maintained in a cache on a least recently used replacement basis. A fast sequence of events strategy increments the counts for events at the current node of the predictor.