Similarities between Out-of-order execution and Parallel computing
Out-of-order execution and Parallel computing have 19 things in common (in Unionpedia): Central processing unit, Computer architecture, Computer data storage, CPU cache, Dataflow architecture, Execution unit, IBM, Instruction pipelining, Instruction set architecture, Intel, Lockstep (computing), Operating system, Pentium 4, Race condition, Register renaming, Scoreboarding, Thread (computing), Tomasulo algorithm, Yale Patt.
Central processing unit
A central processing unit (CPU) is the electronic circuitry within a computer that carries out the instructions of a computer program by performing the basic arithmetic, logical, control and input/output (I/O) operations specified by the instructions.
Central processing unit and Out-of-order execution · Central processing unit and Parallel computing ·
Computer architecture
In computer engineering, computer architecture is a set of rules and methods that describe the functionality, organization, and implementation of computer systems.
Computer architecture and Out-of-order execution · Computer architecture and Parallel computing ·
Computer data storage
Computer data storage, often called storage or memory, is a technology consisting of computer components and recording media that are used to retain digital data.
Computer data storage and Out-of-order execution · Computer data storage and Parallel computing ·
CPU cache
A CPU cache is a hardware cache used by the central processing unit (CPU) of a computer to reduce the average cost (time or energy) to access data from the main memory.
CPU cache and Out-of-order execution · CPU cache and Parallel computing ·
Dataflow architecture
Dataflow architecture is a computer architecture that directly contrasts the traditional von Neumann architecture or control flow architecture.
Dataflow architecture and Out-of-order execution · Dataflow architecture and Parallel computing ·
Execution unit
In computer engineering, an execution unit (also called a functional unit) is a part of the central processing unit (CPU) that performs the operations and calculations as instructed by the computer program.
Execution unit and Out-of-order execution · Execution unit and Parallel computing ·
IBM
The International Business Machines Corporation (IBM) is an American multinational technology company headquartered in Armonk, New York, United States, with operations in over 170 countries.
IBM and Out-of-order execution · IBM and Parallel computing ·
Instruction pipelining
Instruction pipelining is a technique for implementing instruction-level parallelism within a single processor.
Instruction pipelining and Out-of-order execution · Instruction pipelining and Parallel computing ·
Instruction set architecture
An instruction set architecture (ISA) is an abstract model of a computer.
Instruction set architecture and Out-of-order execution · Instruction set architecture and Parallel computing ·
Intel
Intel Corporation (stylized as intel) is an American multinational corporation and technology company headquartered in Santa Clara, California, in the Silicon Valley.
Intel and Out-of-order execution · Intel and Parallel computing ·
Lockstep (computing)
Lockstep systems are fault-tolerant computer systems that run the same set of operations at the same time in parallel.
Lockstep (computing) and Out-of-order execution · Lockstep (computing) and Parallel computing ·
Operating system
An operating system (OS) is system software that manages computer hardware and software resources and provides common services for computer programs.
Operating system and Out-of-order execution · Operating system and Parallel computing ·
Pentium 4
Pentium 4 is a brand by Intel for an entire series of single-core CPUs for desktops, laptops and entry-level servers.
Out-of-order execution and Pentium 4 · Parallel computing and Pentium 4 ·
Race condition
A race condition or race hazard is the behavior of an electronics, software, or other system where the output is dependent on the sequence or timing of other uncontrollable events.
Out-of-order execution and Race condition · Parallel computing and Race condition ·
Register renaming
In computer architecture, register renaming is a technique that eliminates the false data dependencies arising from the reuse of architectural registers by successive instructions that do not have any real data dependencies between them.
Out-of-order execution and Register renaming · Parallel computing and Register renaming ·
Scoreboarding
Scoreboarding is a centralized method, used in the CDC 6600 computer, for dynamically scheduling a pipeline so that the instructions can execute out of order when there are no conflicts and the hardware is available.
Out-of-order execution and Scoreboarding · Parallel computing and Scoreboarding ·
Thread (computing)
In computer science, a thread of execution is the smallest sequence of programmed instructions that can be managed independently by a scheduler, which is typically a part of the operating system.
Out-of-order execution and Thread (computing) · Parallel computing and Thread (computing) ·
Tomasulo algorithm
Tomasulo’s algorithm is a computer architecture hardware algorithm for dynamic scheduling of instructions that allows out-of-order execution and enables more efficient use of multiple execution units.
Out-of-order execution and Tomasulo algorithm · Parallel computing and Tomasulo algorithm ·
Yale Patt
Yale Nance Patt is an American professor of electrical and computer engineering at The University of Texas at Austin.
Out-of-order execution and Yale Patt · Parallel computing and Yale Patt ·
The list above answers the following questions
- What Out-of-order execution and Parallel computing have in common
- What are the similarities between Out-of-order execution and Parallel computing
Out-of-order execution and Parallel computing Comparison
Out-of-order execution has 75 relations, while Parallel computing has 280. As they have in common 19, the Jaccard index is 5.35% = 19 / (75 + 280).
References
This article shows the relationship between Out-of-order execution and Parallel computing. To access each article from which the information was extracted, please visit: