Industry trends indicate that many-core heterogeneous processors will be the next-generation answer to Moore\u27s law and reduced power consumption. Thus, both academia and industry are focused on the challenges presented by many-core heterogeneous processor designs. In many cases, researchers use discrete event simulators to research and validate new computer architecture innovations. However, there is a lack of dynamically configurable discrete event simulation environments for the testing and development of many-core heterogeneous processors. To fulfill this need we present Mhetero, a retargetable framework for cycle-accurate simulation of heterogeneous many-core processors along with the cycle-accurate simulation of their associated net...
In this paper we describe a new simulation platform for heterogeneous distributed systems comprised ...
\u2014Emerging massively parallel architectures such as a general-purpose processor plus many-core p...
With increasing complexity and performance demands of emerging compute-intensive data-parallel workl...
Indiana University-Purdue University Indianapolis (IUPUI)Industry trends indicate that many-core het...
Heterogeneous multiprocessing is the future of chip design with the potential for tens to hundreds o...
Abstract—Parallel Discrete Event Simulation (PDES) using distributed synchronization supports the co...
As deep sub-micron technologies advance, architectures of microprocessors have evolved from traditio...
As multicore and manycore processor architectures are emerg-ing and the core counts per chip continu...
Abstract—Multi-core processors are commonly available now, but most traditional computer architectur...
iii Discrete Event Simulation (DES) is a widely used simulation methodology for systems where change...
Discrete-event models depict systems where a discrete state is repeatedly altered by instantaneous c...
Discrete-event simulation is a commonly used technique to model changes within a complex physical sy...
The continuous improvements offered by the silicon technology enables the integration of always incr...
This work presents a new trace-based parallel discrete event simulation framework designed for predi...
In the early design phase of embedded systems, discrete-event simulation is extensively used to anal...
In this paper we describe a new simulation platform for heterogeneous distributed systems comprised ...
\u2014Emerging massively parallel architectures such as a general-purpose processor plus many-core p...
With increasing complexity and performance demands of emerging compute-intensive data-parallel workl...
Indiana University-Purdue University Indianapolis (IUPUI)Industry trends indicate that many-core het...
Heterogeneous multiprocessing is the future of chip design with the potential for tens to hundreds o...
Abstract—Parallel Discrete Event Simulation (PDES) using distributed synchronization supports the co...
As deep sub-micron technologies advance, architectures of microprocessors have evolved from traditio...
As multicore and manycore processor architectures are emerg-ing and the core counts per chip continu...
Abstract—Multi-core processors are commonly available now, but most traditional computer architectur...
iii Discrete Event Simulation (DES) is a widely used simulation methodology for systems where change...
Discrete-event models depict systems where a discrete state is repeatedly altered by instantaneous c...
Discrete-event simulation is a commonly used technique to model changes within a complex physical sy...
The continuous improvements offered by the silicon technology enables the integration of always incr...
This work presents a new trace-based parallel discrete event simulation framework designed for predi...
In the early design phase of embedded systems, discrete-event simulation is extensively used to anal...
In this paper we describe a new simulation platform for heterogeneous distributed systems comprised ...
\u2014Emerging massively parallel architectures such as a general-purpose processor plus many-core p...
With increasing complexity and performance demands of emerging compute-intensive data-parallel workl...