Intel Corporation

Gadi Haber

Konstantin Levit-Gurevich

Boris Ginzburg

Esfir Natanzon

Moshe Maury Bach

Igor Breger

Aya Elhanan

Jared Warner Stark, Iv

Amjad Aboud

Robert Valentine

Eliezer Weissmann

Alon Naveh

Ronny Ronen

Koichi Yamada

Wei Ey Li

Michael Mishaeli

Jesus Corbal San Adrian

Ayal Zaks

Disclosed embodiments relate to instructions for vector operations with immediate values. In one example, a system includes a memory and a processor that includes fetch circuitry to fetch the instruction from a code storage, the instruction including an opcode, a destination identifier to specify a destination vector register, a first immediate, and a write mask identifier to specify a write mask register, the write mask register including at least one bit corresponding to each destination vector register element, the at least one bit to specify whether the destination vector register element is masked or unmasked, decode circuitry to decode the fetched instruction, and execution circuitry to execute the decoded instruction, to, use the write mask register to determine unmasked elements of the destination vector register, and, when the opcode specifies to broadcast, broadcast the first immediate to one or more unmasked vector elements of the destination vector register.

Instructions for vector operations with constant values

An apparatus and method for a speculative conditional move instruction. A processor comprising: a decoder to decode a first speculative conditional move instruction; a prediction storage to store prediction data related to previously executed speculative conditional move instructions; and execution circuitry to read first prediction data associated with the speculative conditional move instruction and to execute the speculative conditional move instruction either speculatively or non-speculatively based on the first prediction data.

Apparatus and method for speculative conditional move operation

Embodiments described herein relate to improving processor power-performance using a binary analyzer routine. In one example, a processor includes a memory interface to couple to a memory, at least one hardware accelerator circuit, and an execution pipeline including at least fetch, decode, and execute stages, wherein the processor, in response to a hot-spot hardware event indicating presence of a hot-spot sequence, is to switch context to a binary analyzer routine stored in the memory, the binary analyzer routine including instructions that, when fetched, decoded, and executed by the processor, cause the processor to analyze a region in the memory containing the hot-spot sequence, analyze hardware metrics relating to execution of the hot-spot sequence, and generate, based on the analyses, a recommendation for the at least one hardware accelerator circuit to improve at least one of power consumption and performance.

Apparatus and method for improving power-performance using a software analysis routine

Methods, apparatus and systems for virtualization of a native instruction set are disclosed. Embodiments include a processor core executing the native instructions and a second core, or alternatively only the second processor core consuming less power while executing a second instruction set that excludes portions of the native instruction set. The second core's decoder detects invalid opcodes of the second instruction set. A microcode layer disassembler determines if opcodes should be translated. A translation runtime environment identifies an executable region containing an invalid opcode, other invalid opcodes and interjacent valid opcodes of the second instruction set. An analysis unit determines an initial machine state prior to execution of the invalid opcode. A partial translation of the executable region that includes encapsulations of the translations of invalid opcodes and state recoveries of the machine states is generated and saved to a translation cache memory.

Method and apparatus for performance efficient ISA virtualization using dynamic partial binary translation

An asymmetric multiprocessor system (ASMP) may comprise computational cores implementing different instruction set architectures and having different power requirements. Program code executing on the ASMP is analyzed by a binary analysis unit to determine what functions are called by the program code and select which of the cores are to execute the program code, or a code segment thereof. Selection may be made to provide for native execution of the program code, to minimize power consumption, and so forth. Control operations based on this selection may then be inserted into the program code, forming instrumented program code. The instrumented program code is then executed by the ASMP.

Core switching acceleration in asymmetric multiprocessor system

Growing community of inventors

Nesher, Israel

Gadi Haber