The ALICE Trigger and Data Acquisition (TRG/DAQ) System is required to support an aggregate event building bandwidth of up to 4 GByte/s and a storage capability of up to 1.25 GByte/s to mass storage.The system has bee...The ALICE Trigger and Data Acquisition (TRG/DAQ) System is required to support an aggregate event building bandwidth of up to 4 GByte/s and a storage capability of up to 1.25 GByte/s to mass storage.The system has been decomposed in a set of hardware and software components and prototypes of these components are being developed.It is necessary to verity the system design,its capability to reach the expected behavior and the target performances,discover possible bottlenecks and ways to correct for them,and explore alternative algorithms and new architectures.To achieve this the complete TRG/DAQ system has been formally specified.and the verification of the expected behavior has been performed through the execution of the specification,Two tools were used for this.Foresight,and Ptolemy.展开更多
The ALICE experiment [1] at the Large Hadron Collider(LHC) at CERN will detect up to 20,000 particles in a single Pb-Pb event resulting in a data rate of -75 MByte/event,The event rate is limited by the bandwidth of t...The ALICE experiment [1] at the Large Hadron Collider(LHC) at CERN will detect up to 20,000 particles in a single Pb-Pb event resulting in a data rate of -75 MByte/event,The event rate is limited by the bandwidth of the data storage system.Higher rates are possible by selecting interesting events and subevents (High Level trigger) or compressing the data efficiently with modeling techniques.Both require a fast parallel pattern recognition.One possible solution to process the detector data at such rates is a farm of clustered SMP nodes,based on off-the-shelf PCs,and connected by a high bandwidt,low latency network.展开更多
The challenge of LHC computing,with data rates in the range of several PB/year,requires the development of GRID technologies,to optimize the exploitation of distributed computing power and the authomatic access to dis...The challenge of LHC computing,with data rates in the range of several PB/year,requires the development of GRID technologies,to optimize the exploitation of distributed computing power and the authomatic access to distributed data storage.In the framework of the EU-DataGrid project,the ALICE experiment is one of the selected test applications for the early development and implementation of GRID Services.Presently,about 15 ALICE sites are makin use of available GRID tools and a large scale test production involving 9 of them was carried out with our simulation program.Results are discussed in detail,as well as future plans.展开更多
The development of the GEANT4 application for ALICE simulation within the aliRoot framework is described.The G3toG4 approach adopted by ALICE collaboration is explained.The overview of the design,present implementatio...The development of the GEANT4 application for ALICE simulation within the aliRoot framework is described.The G3toG4 approach adopted by ALICE collaboration is explained.The overview of the design,present implementation and functionality is presented and the remaining problems are discussed.展开更多
文摘The ALICE Trigger and Data Acquisition (TRG/DAQ) System is required to support an aggregate event building bandwidth of up to 4 GByte/s and a storage capability of up to 1.25 GByte/s to mass storage.The system has been decomposed in a set of hardware and software components and prototypes of these components are being developed.It is necessary to verity the system design,its capability to reach the expected behavior and the target performances,discover possible bottlenecks and ways to correct for them,and explore alternative algorithms and new architectures.To achieve this the complete TRG/DAQ system has been formally specified.and the verification of the expected behavior has been performed through the execution of the specification,Two tools were used for this.Foresight,and Ptolemy.
文摘The ALICE experiment [1] at the Large Hadron Collider(LHC) at CERN will detect up to 20,000 particles in a single Pb-Pb event resulting in a data rate of -75 MByte/event,The event rate is limited by the bandwidth of the data storage system.Higher rates are possible by selecting interesting events and subevents (High Level trigger) or compressing the data efficiently with modeling techniques.Both require a fast parallel pattern recognition.One possible solution to process the detector data at such rates is a farm of clustered SMP nodes,based on off-the-shelf PCs,and connected by a high bandwidt,low latency network.
文摘The challenge of LHC computing,with data rates in the range of several PB/year,requires the development of GRID technologies,to optimize the exploitation of distributed computing power and the authomatic access to distributed data storage.In the framework of the EU-DataGrid project,the ALICE experiment is one of the selected test applications for the early development and implementation of GRID Services.Presently,about 15 ALICE sites are makin use of available GRID tools and a large scale test production involving 9 of them was carried out with our simulation program.Results are discussed in detail,as well as future plans.
文摘The development of the GEANT4 application for ALICE simulation within the aliRoot framework is described.The G3toG4 approach adopted by ALICE collaboration is explained.The overview of the design,present implementation and functionality is presented and the remaining problems are discussed.
