774results about "Runtime instruction translation" patented technology

A hardware virtual machine instruction processor directly executes virtual machine instructions that are processor architecture independent. The hardware processor has high performance; is low cost; and exhibits low power consumption. The hardware processor is well suited for portable applications. These applications include, for example, an Internet chip for network appliances, a cellular telephone processor, other telecommunications integrated circuits, or other low-power, low-cost applications such as embedded processors, and portable devices.

A fork instruction for execution on a multithreaded microprocessor and occupying a single instruction issue slot is disclosed. The fork instruction, executing in a parent thread, includes a first operand specifying the initial instruction address of a new thread and a second operand. The microprocessor executes the fork instruction by allocating context for the new thread, copying the first operand to a program counter of the new thread context, copying the second operand to a register of the new thread context, and scheduling the new thread for execution. If no new thread context is free for allocation, the microprocessor raises an exception to the fork instruction. The fork instruction is efficient because it does not copy the parent thread general purpose registers to the new thread. The second operand is typically used as a pointer to a data structure in memory containing initial general purpose register set values for the new thread.

A multiplier capable of performing signed and unsigned scalar and vector multiplication is disclosed. The multiplier is configured to receive signed or unsigned multiplier and multiplicand operands in scalar or packed vector form. An effective sign for the multiplier and multiplicand operands may be calculated and used to create and select a number of partial products according to Booth's algorithm. Once the partial products have been created and selected, they may be summed and the results may be output. The results may be signed or unsigned, and may represent vector or scalar quantities. When a vector multiplication is performed, the multiplier may be configured to generate and select partial products so as to effectively isolate the multiplication process for each pair of vector components. The multiplier may also be configured to sum the products of the vector components to form the vector dot product. The final product may be output in segments so as to require fewer bus lines. The segments may be rounded by adding a rounding constant. Rounding and normalization may be performed in two paths, one assuming an overflow will occur, the other assuming no overflow will occur. The multiplier may also be configured to perform iterative calculations to evaluate constant powers of an operand. Intermediate products that are formed may be rounded and normalized in two paths and then compressed and stored for use in the next iteration. An adjustment constant may also be added to increase the frequency of exactly rounded results.

A multiplier configured to perform multiplication of both scalar floating point values (XxY) and packed floating point values (i.e., X1xY1 and X2xY2). In addition, the multiplier may be configured to calculate XxY-Z. The multiplier comprises selection logic for selecting source operands, a partial product generator, an adder tree, and two or more adders configured to sum the results from the adder tree to achieve a final result. The multiplier may also be configured to perform iterative multiplication operations to implement such arithmetical operations such as division and square root. The multiplier may be configured to generate two versions of the final result, one assuming there is an overflow, and another assuming there is not an overflow. A computer system and method for performing multiplication are also disclosed.

A multiplier capable of performing signed and unsigned scalar and vector multiplication is disclosed. The multiplier is configured to receive signed or unsigned multiplier and multiplicand operands in scalar or packed vector form. An effective sign for the multiplier and multiplicand operands may be calculated based upon each operand's most significant bit and a control signal. The effective signs may then be used to create and select a number of partial products according to Booth's algorithm. Once the partial products have been created and selected, they may be summed and the results may be output. The results may be signed or unsigned, and may represent vector or scalar quantities. When a vector multiplication is performed, the multiplier may be configured to generate and select partial products so as to effectively isolate the multiplication process for each pair of vector components. The multiplier may also be configured to sum the products of the vector components to form the vector dot product. The final product may be output in segments so as to require fewer bus lines. The segments may be rounded by adding a rounding constant. Rounding and normalization may be performed in two paths, one assuming an overflow will occur, the other assuming no overflow will occur.

A prefetching technique referred to as future execution (FE) dynamically creates a prefetching thread for each active thread in a processor by simply sending a copy of all committed, register-writing instructions in a primary thread to an otherwise idle processor. On the way to the second processor, a value predictor replaces each predictable instruction with a load immediate instruction, where the immediate is the predicted result that the instruction is likely to produce during its nth next dynamic execution. Executing this modified instruction stream (i.e., the prefetching thread) in another processor allows computation of the future results of the instructions that are not directly predictable. This causes the issuance of prefetches into the shared memory hierarchy, thereby reducing the primary thread's memory access time and speeding up the primary thread's execution.

A processing system and method includes a predecoder configured to identify instructions that are combinable. Instruction storage is configured to merge instructions that are combinable by replacing the combinable instructions with a wide data internal instruction for execution. An instruction execution unit is configured to execute the internal instruction on a wide datapath.

According to one embodiment, a processor includes an instruction decoder to decode a first instruction to gather data elements from memory, the first instruction having a first operand specifying a first storage location and a second operand specifying a first memory address storing a plurality of data elements. The processor further includes an execution unit coupled to the instruction decoder, in response to the first instruction, to read contiguous a first and a second of the data elements from a memory location based on the first memory address indicated by the second operand, and to store the first data element in a first entry of the first storage location and a second data element in a second entry of a second storage location corresponding to the first entry of the first storage location.

A multiplier configured to obtain higher frequencies of exactly rounded results by adding an adjustment constant to intermediate products generated during iterative multiplication operations is disclosed. One such iterative multiplication operation is the Newton-Raphson iteration, which may be utilized by the multiplier to perform reciprocal calculations and reciprocal square root calculations. For each iteration, the results converge toward an infinitely precise result. To improve the frequency of the exactly rounded result, the results of the iterative calculations may be studied for a large number of differing input operands to determine the best suited value for the adjustment constant. The multiplier may also be configured to perform scalar and packed vector multiplication using the same hardware.

A microprocessor includes a hardware instruction translator that translates x86 ISA and ARM ISA machine language program instructions into microinstructions, which are encoded in a distinct manner from the x86 and ARM instructions. An execution pipeline executes the microinstructions to generate x86/ARM-defined results. The microinstructions are distinct from the results generated by the execution of the microinstructions by the execution pipeline. The translator directly provides the microinstructions to the execution pipeline for execution. Each time the microprocessor performs one of the x86 ISA and ARM ISA instructions, the translator translates it into the microinstructions. An indicator indicates either x86 or ARM as a boot ISA. After reset, the microprocessor initializes its architectural state, fetches its first instructions from a reset address, and translates them all as defined by the boot ISA. An instruction cache caches the x86 and ARM instructions and provides them to the translator.

A semiconductor integrated circuits can send and receive signals to and form a configuration memory. The semiconductor integrated circuits is provided therein wiht an instruction memory, an instruction storage portion that stores reserved instructions as F instructions, and stores the substantially equivalent processing contents to the F instructions as substitute instructions for processing by the CPU, a pre-fetch portion, a history storage portion, a diagnosing portion for diagnosing the types of instructions, a reprogramming control portion for reprogramming the instructions, a CPU, an FPGA, a configuration data memory, a built-in memory, and a configuration data tag. When the configuration data of the F instruction does not exist in the FPGA, the substantially equivalent processing by FPGA is executed by the CPU by making use of the substitute instructions.

A method, apparatus, and computer instructions for processing instructions by a processing unit. An instruction set is dynamically set for the processing unit using a selected instruction map. The selected instruction map is selected as one being different from a normal instruction map for the processing unit. The instructions are processed at the processor using the instruction set. A set of authorized instructions are encoded using the selected instruction map.

Disclosed are an apparatus, system, and method for implementing predicated instructions using micro-operations. A micro-code engine receives an instruction, decomposes the instruction, and generates a plurality of micro-operations to implement the instruction. Each of the decomposed micro-operations indicates a single destination register. For predicated instructions, the decomposed micro-operations include “conditional move” micro-operations to select between two potential output values. Except in the case that one of the potential output values is a constant, the decomposed micro-operations for a predicated instruction also include an append instruction that saves the incoming value of a destination register in a temporary variable. For at least one embodiment, the qualifying predicate for a predicated instruction is appended to the incoming value stored in the temporary register.

An execution unit configured to execute vectored floating point and integer instructions. The execution unit may include an add/subtract pipeline having far and close data paths. The far data path is configured to handle effective addition operations, as well as effective subtraction operations for operands having an absolute exponent difference greater than one. The close data path is configured to handle effective subtraction operations for operands having an absolute exponent difference less than or equal to one. The close data path includes an adder unit configured to generate a first and second output value. The first output value is equal to the first input operand plus an inverted version of the second input operand, while the second output value is equal to the first output value plus one. The two output values are conveyed to a multiplexer unit, which selects one of the output values as a preliminary subtraction result based on a final selection signal received from a selection unit. The selection unit generates the final selection signal from a plurality of preliminary selection signals based on the carry in signal to the most significant bit of the first adder output value. Selection of the first or second output value in the close data path effectuates the round-to-nearest operation.