This paper summarizes the five years of CERN openlab's efforts focused on the Intel Xeon Phi co-processor, from the time of its inception to public release. We consider the architecture of the device vis a vis the characteristics of HEP software and identify key opportunities for HEP processing, as well as scaling limitations. We report on improvements and speedups linked to parallelization and vectorization on benchmarks involving software frameworks such as Geant4 and ROOT. Finally, we extrapolate current software and hardware trends and project them onto accelerators of the future, with the specifics of offline and online HEP processing in mind
Modern HEP experiments produce tremendous amounts of data. This data is processed by in-house built ...
As the mainstream computing world has shifted from multi-core to many-core platforms, the situation ...
Benchmarking of CPU resources in WLCG has been based on the HEP-SPEC06 (HS06) suite for over a decad...
As Moore's Law continues to deliver more and more transistors, the mainstream processor industry is ...
We report on our investigations into the viability of the ARM processor and the Intel Xeon Phi co-pr...
As researchers have reached the practical limits of processor performance improvements by frequency ...
The goal of this lab exercise is to develop a parallel compute-intensive application to be run on an...
Intel's Xeon Phi combines the parallel processing power of a many-core accelerator with the programm...
We report on our investigations into the viability of the ARM processor and the Intel Xeon Phi co-pr...
To study the performance of multi-threaded Geant4 for high-energy physics experiments, an applicatio...
In this paper we compare a system based on an Intel Atom N330 low-power processor to a modern Intel ...
International audienceThe objective of this study is to evaluate the performances of Intel Xeon Phi ...
Abstract—This paper presents preliminary performance com-parisons of parallel applications developed...
In this paper we report on a set of benchmark results recently obtained by CERN openlab when compari...
The benchmarking and accounting of CPU resources in WLCG has been based on the HEP-SPEC06 (HS06) sui...
Modern HEP experiments produce tremendous amounts of data. This data is processed by in-house built ...
As the mainstream computing world has shifted from multi-core to many-core platforms, the situation ...
Benchmarking of CPU resources in WLCG has been based on the HEP-SPEC06 (HS06) suite for over a decad...
As Moore's Law continues to deliver more and more transistors, the mainstream processor industry is ...
We report on our investigations into the viability of the ARM processor and the Intel Xeon Phi co-pr...
As researchers have reached the practical limits of processor performance improvements by frequency ...
The goal of this lab exercise is to develop a parallel compute-intensive application to be run on an...
Intel's Xeon Phi combines the parallel processing power of a many-core accelerator with the programm...
We report on our investigations into the viability of the ARM processor and the Intel Xeon Phi co-pr...
To study the performance of multi-threaded Geant4 for high-energy physics experiments, an applicatio...
In this paper we compare a system based on an Intel Atom N330 low-power processor to a modern Intel ...
International audienceThe objective of this study is to evaluate the performances of Intel Xeon Phi ...
Abstract—This paper presents preliminary performance com-parisons of parallel applications developed...
In this paper we report on a set of benchmark results recently obtained by CERN openlab when compari...
The benchmarking and accounting of CPU resources in WLCG has been based on the HEP-SPEC06 (HS06) sui...
Modern HEP experiments produce tremendous amounts of data. This data is processed by in-house built ...
As the mainstream computing world has shifted from multi-core to many-core platforms, the situation ...
Benchmarking of CPU resources in WLCG has been based on the HEP-SPEC06 (HS06) suite for over a decad...