GPU metrics is a set of measurements used to distinguish an efficient GPU and GPU algorithms. In this paper, we present a mathematical definition of three important GPU metrics such as occupancy, average bandwidth utilization and volume in order to prove certain preliminary results. We discuss another most important and frequently used GPU metric called acceleration ratio. Finally, we discuss the importance and application of GPU metrics on BICGStab algorithm
GPUs are widely being used to meet the ever increasing demands of High performance computing. High-e...
This work analyzes the role of graphic processing units (GPUs) in the framework of traditional paral...
Recently General-Purpose Computing on Graphics Process-ing Units (GPGPU) has been used to reduce the...
A graphical processing unit (GPU) is a hardware device normally used to manipulate computer memory f...
Nowadays a technique of using graphics processing units (GPUs) for general-purpose computing (or GPG...
We develop a microbenchmark-based performance model for NVIDIA GeForce 200-series GPUs. Our model id...
The characteristics of graphics processing units (GPUs), especially their parallel execution capabil...
Parallel programming is about performance, for otherwise we’d write a sequential program. A problem ...
A recent trend in computer science and related fields is general purpose computing on graphics proce...
Using modern graphics processing units for no-graphics high performance computing is motivated by th...
Recently, GPGPUs have positioned themselves in the main-stream processor arena with their potential ...
The computational speed on microprocessors is increasing faster than the communication speed, especi...
Heterogeneous processing using GPUs is here to stay and today spans mobile devices, laptops, and ...
Using modern graphics processing units for no-graphics high performance computing is motivated by th...
<p>In this test we used a data set with . We achieve a performance speedup that is slightly below li...
GPUs are widely being used to meet the ever increasing demands of High performance computing. High-e...
This work analyzes the role of graphic processing units (GPUs) in the framework of traditional paral...
Recently General-Purpose Computing on Graphics Process-ing Units (GPGPU) has been used to reduce the...
A graphical processing unit (GPU) is a hardware device normally used to manipulate computer memory f...
Nowadays a technique of using graphics processing units (GPUs) for general-purpose computing (or GPG...
We develop a microbenchmark-based performance model for NVIDIA GeForce 200-series GPUs. Our model id...
The characteristics of graphics processing units (GPUs), especially their parallel execution capabil...
Parallel programming is about performance, for otherwise we’d write a sequential program. A problem ...
A recent trend in computer science and related fields is general purpose computing on graphics proce...
Using modern graphics processing units for no-graphics high performance computing is motivated by th...
Recently, GPGPUs have positioned themselves in the main-stream processor arena with their potential ...
The computational speed on microprocessors is increasing faster than the communication speed, especi...
Heterogeneous processing using GPUs is here to stay and today spans mobile devices, laptops, and ...
Using modern graphics processing units for no-graphics high performance computing is motivated by th...
<p>In this test we used a data set with . We achieve a performance speedup that is slightly below li...
GPUs are widely being used to meet the ever increasing demands of High performance computing. High-e...
This work analyzes the role of graphic processing units (GPUs) in the framework of traditional paral...
Recently General-Purpose Computing on Graphics Process-ing Units (GPGPU) has been used to reduce the...