CPU-assisted GPU thread pool model for dynamic task parallelism

S Zhang, T Li, Q Dong, X Liu… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
With the growing power of GPUs, how to utilize the high computing performance provided by
the GPU hardware becomes an urgent yet challenging problem, especially for applications …

[PDF][PDF] Performance Analysis of Application Kernels in Multi/Many-Core Architectures

DIR Karthik Balasubramanian - Citeseer
In recent years, advancement in technology and computing led to huge amounts of data
being generated. Thus, High-Performance Computing (HPC) plays an ever growing role in …

[PDF][PDF] Accelerating Simulation Codes through the GeMTC Framework

DS Gahlot, S Krieder, I Raicu - cs.iit.edu
ABSTRACT “GPU Computing “utilizes high level language to run sequential part of the code
on the CPU as well as speeds up parallel part via running it on GPUs but GPUs are SIMD by …

[PDF][PDF] Power Profiling of GeMTC Many Task Computing

S Wallace, S Krieder, I Raicu - cs.iit.edu
GeMTC allows for Many Task Computing (MTC) workloads to run on hardware accelerators
allowing for advantages that come from the many-core architecture. However, presently …