Methods, systems, apparatuses, and computer program products are provided for generating an instruction set for an evaluation engine. An arithmetic expression that combines multiple columns of data (e.g., a first column of data, a second column of data, etc.) is received. Instructions may be generated, that, when executed by an integrated-circuit-based processor, cause the integrated-circuit-based processor to evaluate the arithmetic expression. In examples, a set of instructions may be generated for each column of data represented in the arithmetic expression. For instance, the instructions may comprise a first set of instructions associated with the first column of data, a second set of instructions associated with the second column of data, and so on. The instructions may specify one or more parameters for operations associated with each column of data, such as operations to load data from a buffer, store data into a buffer, arithmetic operations to perform on data, etc.

One embodiment illustrated herein includes a hardware system for simulating a network physical layer for communication channels. The hardware system includes a plurality of hardware processors configurable to model a network physical layer and communication channels. The hardware processors include an opcode processing unit. The hardware processors further include a programmable state machine coupled to the opcode processing unit. The programmable state machine is configured to be programmed by the opcode processing unit using a low-level hardware programming language comprising opcodes having waveform processing specific semantics so as to configure the state machine for specific waveforms or specific network physical layer characteristics.

A digital data processor includes an instruction memory storing instructions specifying data processing operations and a data operand field, an instruction decoder coupled to the instruction memory for recalling instructions from the instruction memory and determining the operation and the data operand, and an operational unit coupled to a data register file and an instruction decoder to perform an operation upon an operand corresponding to an instruction decoded by the instruction decoder and storing results of the operation. The operational unit is configured to perform a table recall in response to a look up table read instruction by recalling data elements from a specified location and adjacent location to the specified location, in a specified number of at least one table and storing the recalled data elements in successive slots in a destination register. Recalled data elements include at least one interpolated data element in the adjacent location.

An apparatus, method, and computer program product are provided for encrypting a function symbol with relocation. The apparatus includes a compiler module, a static linker module, and an encryptor module. The compiler module inserts sequences of instructions to decrypt function symbols to be randomized at runtime before indirect function calls. The compiler module inserts an instruction sequence at compile time to encrypt an operand register that receives a local function symbol in position-independent code (PIC), where a call or store instruction uses the register as an operand. The static linker module inserts an encoding section at link time. The encoding section includes two columns representing the sizes of function symbols in bits or bytes and the locations storing the function symbols to be encrypted at runtime. The encryptor module encrypts at runtime the function symbols whose sizes and stored memory locations are identified in the encoding section.

The embodiments provide a register file device which increases energy efficiency using a spin transfer torque-random access memory for a register file used to compute a general purpose graphic processing device, and hierarchically uses a register cache and a buffer together with the spin transfer torque-random access memory, to minimize leakage current, reduce a write operation power, and solve the write delay.

Data integrity logic is executable by a processor to generate a data integrity code using a hardware-based secret. A container manager, executable by the processor, creates a secured container including report generation logic that determines measurements of the secured container, generates a report according to a defined report format, and sends a quote request including the report. The defined report format includes a field to include the measurements and a field to include the data integrity code, and the report format is compatible for consumption by any one of a plurality of different quote creator types.

Apparatuses and methods related to commands to transfer data and/or perform logic operations are described. For example, a command that identifies a location of data and a target for transferring the data may be issued to a memory device. Or a command that identifies a location of data and one or more logic operations to be performed on that data may be issued to a memory device. A memory module may include different memory arrays (e.g., different technology types), and a command may identify data to be transferred between arrays or between controllers for the arrays. Commands may include targets for data expressed in or indicative of channels associated with the arrays, and data may be transferred between channels or between memory devices that share a channel, or both. Some commands may identify data, a target for the data, and a logic operation for the data.

A database of deployed configurations, as well as attempted configurations that failed is maintained and used as reference to compare against configurations of attempted software deployments. Upon detecting a failed deployment, disclosed embodiments search the database for working configurations that most closely resemble the failed configuration, and rank the configurations based on various criteria. Disclosed embodiments may then automatically select a highest ranked working configuration, and perform an automatic upgrade of the necessary components to create a working configuration.

This application provides a graph instruction processing method and apparatus. The method is applied to a processor, and includes: detecting whether a first input and a second input of a first graph instruction are in a ready-to-complete state, where the first input and/or the second input are or is a dynamic data input or dynamic data inputs of the first graph instruction.

Apparatus and methods are disclosed for controlling execution of memory access instructions in a block-based processor architecture using a hardware structure that indicates a relative ordering of memory access instruction in an instruction block. In one example of the disclosed technology, a method of executing an instruction block having a plurality of memory load and/or memory store instructions includes selecting a next memory load or memory store instruction to execute based on dependencies encoded within the block, and on a store vector that stores data indicating which memory load and memory store instructions in the instruction block have executed. The store vector can be masked using a store mask. The store mask can be generated when decoding the instruction block, or copied from an instruction block header. Based on the encoded dependencies and the masked store vector, the next instruction can issue when its dependencies are available.