Patent classifications
G06F9/3017
Programmable coarse grained and sparse matrix compute hardware with advanced scheduling
- Eriko Nurvitadhi ,
- Balaji Vembu ,
- Nicolas C. Galoppo Von Borries ,
- Rajkishore Barik ,
- Tsung-Han Lin ,
- Kamal Sinha ,
- Nadathur Rajagopalan Satish ,
- Jeremy Bottleson ,
- Farshad Akhbari ,
- Altug Koker ,
- Narayan Srinivasa ,
- Dukhwan Kim ,
- Sara S. Baghsorkhi ,
- Justin E. Gottschlich ,
- Feng Chen ,
- Elmoustapha Ould-Ahmed-Vall ,
- Kevin Nealis ,
- Xiaoming Chen ,
- Anbang Yao
One embodiment provides for a compute apparatus to perform machine learning operations, the compute apparatus comprising a decode unit to decode a single instruction into a decoded instruction, the decoded instruction to cause the compute apparatus to perform a complex machine learning compute operation.
Arithmetic processing apparatus and method for controlling arithmetic processing apparatus
An arithmetic processing apparatus includes: a memory; and a processor coupled to the memory, wherein the processor: detects whether intervals of a plurality of addresses to be accessed by a memory access instruction that performs memory access to the plurality of addresses by a single instruction are all the same; decodes the memory access instruction as the single instruction when detecting that the intervals are all the same; decodes the memory access instruction as a plurality of instructions when detecting that the intervals are not all the same; and performs the memory access in accordance with the single instruction or the plurality of instructions.
Runtime execution of entities and services in an application object runtime environment
Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives, from a client device, a request to execute an application object configured to execute in a first runtime environment. The program further registers the first runtime environment in a second runtime environment. The program also registers the application object in the first runtime environment. The program further enriches a definition of the application object with metadata associated with the second runtime environment. The program also executes the application object in the first runtime environment.
METHOD AND SYSTEM FOR EXECUTING NEW INSTRUCTIONS
A method for executing new instructions is provided. The method is used in a processor and includes: receiving an instruction; generating an unknown instruction exception when the received instruction is an unknown instruction; in response to the unknown instruction exception, executing the following steps through a conversion program: determining whether the received instruction is a new instruction; and converting the received instruction into at least one old instruction when the received instruction is a new instruction; and executing the at least one old instruction in the same execution mode as the received instruction.
SYSTEM FOR EXECUTING NEW INSTRUCTIONS AND METHOD FOR EXECUTING NEW INSTRUCTIONS
A method for executing new instructions includes the following steps: receiving an instruction and determining whether the received instruction is a new instruction. When the received instruction is the new instruction, entering a system management mode, and simulating the execution of the received instruction by executing at least one old instruction in the system management mode.
SYSTEM FOR EXECUTING NEW INSTRUCTIONS AND METHOD FOR EXECUTING NEW INSTRUCTIONS
A method for executing new instructions includes receiving an instruction, and determining whether the received instruction is a new instruction according to an operation code of the received instruction. When the received instruction is a new instruction, the basic decoding information of the received instruction is stored in a private register. And, the system for executing the new instructions enters a system management mode, and simulates the execution of the received instruction according to the basic decoding information stored in the private register in the system management mode; wherein the basic decoding information includes the operation code.
METHOD AND SYSTEM FOR CONVERTING INSTRUCTIONS
A method for converting instructions is provided. The method is used in a processor and includes: receiving an instruction, wherein the instruction is an unknown instruction; determining whether the received instruction is a new instruction; and converting the received instruction into at least one old instruction when the received instruction is a new instruction.
INSTRUCTION CONVERSION DEVICE, INSTRUCTION CONVERSION METHOD, INSTRUCTION CONVERSION SYSTEM, AND PROCESSOR
The disclosure relates to an instruction conversion device, an instruction conversion method, an instruction conversion system, and a processor. The instruction conversion device includes a monitor for determining whether a ready-for-execution instruction is an instruction that belongs to a new instruction set or an extended instruction set, wherein the new instruction set and the extended instruction set have the same type of the instruction set architecture as that of the processor. If the ready-for-execution instruction is determined as an extended instruction, this extended instruction is converted into a converted instruction sequence by means of the conversion system, this converted instruction sequence is then sent to the processor for executions, thereby extending the lifespans of the electronic devices embodied with old-version processors.
METHOD AND SYSTEM FOR EXECUTING NEW INSTRUCTIONS
A method for executing new instructions is provided. The method is used in a processor and includes: receiving an instruction; when the received instruction is an unknown instruction, executing a conversion program by an operating system, wherein the conversion program executes the following steps: determining whether the received instruction is a new instruction; converting the received instruction into at least one old instruction when the received instruction is a new instruction; and executing the at least one old instruction.
Fuzzy target selection for robotic process automation
A software robot is designed to carry out an activity (e.g., a mouse click, a text input, etc.) on a target element (e.g., a button, an input field, etc.) of a user interface. The robot is configured to automatically identify the target element at runtime according to a set of attributes of the target element specified in the source-code of the user interface. The robot's code specification includes an indicator of a selected fuzzy attribute and a numerical similarity threshold indicative of an acceptable degree of mismatch between design-time and runtime values of the respective fuzzy attribute. The robot is configured to identify the target element from a set of candidates which are sufficiently similar to it according to the specified degree of mismatch.