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Explicitly parallel instruction computing ( EPIC) is a term coined in 1997 by the HP–Intel alliance [1] to describe a computing paradigm that researchers had been investigating since the early 1980s. [2] This paradigm is also called Independence architectures. It was the basis for Intel and HP development of the Intel Itanium architecture, [3 ...
Parallel computing is a type of computation in which many calculations or processes are carried out simultaneously. [1] . Large problems can often be divided into smaller ones, which can then be solved at the same time. There are several different forms of parallel computing: bit-level, instruction-level, data, and task parallelism.
(Explicitly Parallel Instruction Computing) was coined to describe the design philosophy and architecture style envisioned by HP, and the specific jointly designed instruction set architecture was named IA-64. More recently, Intel has preferred to use IPF (Itanium Processor Family) as the name of the instruction set architecture.
Feb 1, 2000 · The authors developed the Explicitly Parallel Instruction Computing (EPIC) style of architecture to enable higher levels of instruction-level parallelism without unacceptable hardware complexity.
The Explicitly Parallel Instruction Computing (EPIC) style of architecture is an evolution of VLIW that has also absorbed many superscalar concepts, albeit in a form adapted to EPIC. EPIC provides a phi-losophy of how to build ILP processors, along with a set of architectural features that support this philoso-phy.
The authors developed the Explicitly Parallel Instruction Computing (EPIC) style of architecture to enable higher levels of instruction-level parallelism without unacceptable hardware complexity. They focus on the broader concept of EPIC as embodied by HPL-PD (formerly known as HPL PlayDoh) architecture, which encompasses a large space of ...
Explicitly Parallel Instruction Computing (EPIC) refers to architectures in which features are provided to facilitate compiler enhancements of instruction-level parallelism (ILP) in all programs, while keeping hardware complexity relatively low.
