In this paper we present MCoreSim, an open-source simulation framework for massively parallel and many-core com- puting systems based on OMNeT++. The simulator supports tile-based architectures with distributed memory and mesh-based interconnects. Its primary purpose is to allow for in- vestigations on the impact of the heterogeneous in-chip communication latencies, as arising due to the network-on-a-chip structure of future and emerging many-core processors, on the performance of the hosted applications. We plan to use MCoreSim to study the variety of possible choices in realizing a suitable software stack for these systems, especially in terms of the choices at the kernel design level
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
By introducing physically motivated time delays, simulation models can be partitioned into decoupled...
With increasing complexity and performance demands of emerging compute-intensive data-parallel workl...
In this paper we present MCoreSim, an open-source simulation framework for massively parallel and ma...
The current many-core architectures are generally evaluated by a detailed emulation with a cycle-acc...
As deep sub-micron technologies advance, architectures of microprocessors have evolved from traditio...
The continuous improvements offered by the silicon technology enables the integration of always incr...
As the speed increase of single-core processors keeps declining, it is important to adapt simulation...
Industry trends indicate that many-core heterogeneous processors will be the next-generation answer ...
Simulation is an important means of evaluating new microarchitectures. With the invention of multi-c...
In hardware/software codesign, Discrete Event Simulation (DES) has been in use for decades to verify...
Computer architects heavily rely on software simulation to evaluate new and existing processor desig...
Future integrated systems will contain billions of transistors, composing tens to hundreds of IP cor...
In this paper we deal with the impact of multi and many-core processor architectures on simulation. ...
Abstract—Parallel Discrete Event Simulation (PDES) using distributed synchronization supports the co...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
By introducing physically motivated time delays, simulation models can be partitioned into decoupled...
With increasing complexity and performance demands of emerging compute-intensive data-parallel workl...
In this paper we present MCoreSim, an open-source simulation framework for massively parallel and ma...
The current many-core architectures are generally evaluated by a detailed emulation with a cycle-acc...
As deep sub-micron technologies advance, architectures of microprocessors have evolved from traditio...
The continuous improvements offered by the silicon technology enables the integration of always incr...
As the speed increase of single-core processors keeps declining, it is important to adapt simulation...
Industry trends indicate that many-core heterogeneous processors will be the next-generation answer ...
Simulation is an important means of evaluating new microarchitectures. With the invention of multi-c...
In hardware/software codesign, Discrete Event Simulation (DES) has been in use for decades to verify...
Computer architects heavily rely on software simulation to evaluate new and existing processor desig...
Future integrated systems will contain billions of transistors, composing tens to hundreds of IP cor...
In this paper we deal with the impact of multi and many-core processor architectures on simulation. ...
Abstract—Parallel Discrete Event Simulation (PDES) using distributed synchronization supports the co...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
By introducing physically motivated time delays, simulation models can be partitioned into decoupled...
With increasing complexity and performance demands of emerging compute-intensive data-parallel workl...