In recent years, the world of high performance computing has been developing rapidly. The goal of this project was to conduct computing performance benchmarks on three major computing platforms, CPUs, GPUs, and FPGAs. A total of 66 benchmarks were evaluated. GPUs outperformed the other platforms in terms of execution time. CPUs outperformed in overall execution combined with transfer time. FPGAs outperformed for fixed algorithms using streaming. The team made several recommendations for further research in this area
Over the past few years, we have seen an exponential performance boost of the graphics processing un...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
In this dissertation, we demonstrate that it is possible to develop methods of empirical hardware-co...
High-performance computing is one of the most demanding technologies in today\u27s computational wor...
CPU’s performance is not enough to fit today’s needs, such as cloud computing, biomedical research, ...
In the past decade, FPGAs and GPUs have become increasingly common as hardware accelerators when dea...
Floating-point computing with more than one TFLOP of peak performance is already a reality in recent...
As CPU clock frequencies plateau and the doubling of CPU cores per processor ex-acerbate the memory ...
High performance computing is a topic that has risen to the top in the era ofdigitalization, AI and ...
Recent trends in computing architecture development have focused on exploiting task- and data-level ...
AbstractThe use of graphics hardware for non-graphics applications has become popular among many sci...
In this paper, we report on a preliminary investigation of the potential performance gain of program...
Low-power, high-performance computing nowadays relies on accelerator cards to speed up the calculati...
Data analyze has become very important with growth of information today. There is a need of real-tim...
The authors discuss the important questions that benchmarking must answer and the degree to which su...
Over the past few years, we have seen an exponential performance boost of the graphics processing un...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
In this dissertation, we demonstrate that it is possible to develop methods of empirical hardware-co...
High-performance computing is one of the most demanding technologies in today\u27s computational wor...
CPU’s performance is not enough to fit today’s needs, such as cloud computing, biomedical research, ...
In the past decade, FPGAs and GPUs have become increasingly common as hardware accelerators when dea...
Floating-point computing with more than one TFLOP of peak performance is already a reality in recent...
As CPU clock frequencies plateau and the doubling of CPU cores per processor ex-acerbate the memory ...
High performance computing is a topic that has risen to the top in the era ofdigitalization, AI and ...
Recent trends in computing architecture development have focused on exploiting task- and data-level ...
AbstractThe use of graphics hardware for non-graphics applications has become popular among many sci...
In this paper, we report on a preliminary investigation of the potential performance gain of program...
Low-power, high-performance computing nowadays relies on accelerator cards to speed up the calculati...
Data analyze has become very important with growth of information today. There is a need of real-tim...
The authors discuss the important questions that benchmarking must answer and the degree to which su...
Over the past few years, we have seen an exponential performance boost of the graphics processing un...
Systems for high performance computing are getting increasingly complex. On the one hand, the number...
In this dissertation, we demonstrate that it is possible to develop methods of empirical hardware-co...