Memory efficient methods determine corrected color values from image data acquired by a nucleic acid sequencer during a base calling cycle. Such methods may: (a) obtain an image of a substrate (e.g., a portion of a flow cell) including a plurality of sites where nucleic acid bases are read; (b) measure color values of the plurality of sites from the image of the substrate; (c) store the color values in a processor buffer of the sequencer's one or more processors; (d) retrieve partially phase-corrected color values of the plurality of sites, where the partially phase-corrected color values were stored in the sequencer's memory during an immediately preceding base calling cycle; (e) determine a prephasing correction; and (f) determine the corrected color values. In various implementations, these operations are all performed during a single base calling cycle. In certain embodiments, the methods additionally include using the corrected color values to make base calls for the plurality of sites. Sequencers may be designed or configured to implement such methods.

A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

A data-brokerage service that facilitates data sharing between Internet-of-Things (IoT) platforms via peer-to-peer connections is described. In various embodiments, the data-brokerage service receives, from an IoT platform acting as data consumer, a selection of data fields included in a plurality of data streams provided from a plurality of respective IoT platforms acting as data producers. Responsive to the selection, the data-brokerage service causes the plurality of data-producer platforms to stream at least the selected data fields of the plurality of data streams to the data-consumer platform, and causes the data-consumer platform to combine the streamed data fields received from the plurality of data-producer platforms into a single target data stream.

A conversion apparatus includes: a determination unit configured to, using a numeric value of an amount of a given type as input, determine a conversion method to be applied to the numeric value among multiple conversion methods based on the type of the amount and the size of the numeric value; a conversion unit configured to convert the numeric value into a relative value obtained based on a predetermined reference, using the conversion method determined by the determination unit; and an output unit configured to output a result of applying the value to a predetermined template, and thereby the conversion apparatus generates an expression that is easy to understand.

A conversion apparatus includes: a determination unit configured to, using a numeric value of an amount of a given type as input, determine a conversion method to be applied to the numeric value among multiple conversion methods based on the type of the amount and the size of the numeric value; a conversion unit configured to convert the numeric value into a relative value obtained based on a predetermined reference, using the conversion method determined by the determination unit; and an output unit configured to output a result of applying the value to a predetermined template, and thereby the conversion apparatus generates an expression that is easy to understand.

Techniques for converting FP16 to BF8 using bias are described. An exemplary embodiment utilizes decoder circuitry to decode a single instruction, the single instruction to include one or more fields to identify a first source operand, one or more fields to identify a second source operand, one or more fields to identify a source/destination operand, and one or more fields for an opcode, wherein the opcode is to indicate that execution circuitry is to convert packed half-precision data from the identified first and second sources to packed bfloat8 data using bias terms from the identified source/destination operand and store the packed bfloat8 data into corresponding data element positions of the identified source/destination operand; and execution circuitry to execute the decoded instruction according to the opcode to convert packed half-precision data from the identified first and second sources to packed bfloat8 data using bias terms from the identified source/destination operand and store the packed bfloat8 data into corresponding data element positions of the identified source/destination operand.

Techniques for converting FP16 to BF8 using bias are described. An exemplary embodiment utilizes decoder circuitry to decode a single instruction, the single instruction to include one or more fields to identify a first source operand, one or more fields to identify a second source operand, one or more fields to identify a source/destination operand, and one or more fields for an opcode, wherein the opcode is to indicate that execution circuitry is to convert packed half-precision data from the identified first and second sources to packed bfloat8 data using bias terms from the identified source/destination operand and store the packed bfloat8 data into corresponding data element positions of the identified source/destination operand; and execution circuitry to execute the decoded instruction according to the opcode to convert packed half-precision data from the identified first and second sources to packed bfloat8 data using bias terms from the identified source/destination operand and store the packed bfloat8 data into corresponding data element positions of the identified source/destination operand.

Embodiments for allocating and reclaiming memory using dynamic buffer allocation for a slab memory allocator. The method keeps track of a count of a total number of worker threads and a count of a total number of quiesced threads, and determines if there is any free slab memory. If there is no free slab memory, the method triggers an out of memory event and increments the count of the total number of quiesced threads. It reclaims all objects currently allocated in an object pool, and allocates a buffer of a next smaller size than an original buffer until a sufficient amount of slab memory is freed.

An electronic communications method includes receiving, by a device, electronic information. The electronic communications method further includes receiving, by the device, additional electronic information. A time period between receiving the electronic information and the additional electronic information is less than another time period between receiving the electronic information and the additional electronic information by using a standard keyboard.

An information processing device includes: a memory; and a processor coupled to the memory and configured to: convert target data into first data by predetermined arithmetic processing; generate second data based on the converted first data and identification information which specifies a file of the target data; and store the target data in an address of a memory corresponding to the generated second data.