Overview of the IBM Blue Gene/P Project

@article{Blue2008OverviewOT,
  title={Overview of the IBM Blue Gene/P Project},
  author={Ibm Blue and Gen-X Team},
  journal={IBM J. Res. Dev.},
  year={2008},
  volume={52},
  pages={199-220}
}
IBM announced the Blue Gene/Pe system as the leading offering in its massively parallel Blue Genet supercomputer line, succeeding the Blue Gene/Le system. The Blue Gene/P system is designed to scale to at least 262,144 quad-processor nodes, with a peak performance of 3.56 petaflops. More significantly, the Blue Gene/P system enables this unprecedented scaling via architectural and design choices that maximize performance per watt, performance per square foot, and mean time between failures… 

Blue Gene/Q: by co-design

  • P. Boyle
  • Computer Science
    Computer Science - Research and Development
  • 2012
The contributions of this paper are a description of the overall system and packaging of Blue Gene/Q, a descriptions of the core system software, and a detailed description the software’s needs that drove the co-design process, in turn affecting the hardware.

Early Experience on the Blue Gene/Q Supercomputing System

The Argonne Leadership Computing Facility (ALCF) is home to Mira, a 10 PF Blue Gene/Q (BG/Q) system that offers several new opportunities for tuning and scaling scientific applications.

Measuring power consumption on IBM Blue Gene/P

The integration of Blue Gene power monitoring capabilities into system-level tools like LLview are described, and some results of analyzing the production workload at Research Center Jülich (FZJ) are highlighted.

Hybrid Parallel Programming for Blue Gene/P

This work presents optimizations of a Grid-based projector-augmented wave method software, GPAW, for the Blue Gene/P architecture, and demonstrates a hybrid programming model, which is clearly beneficial compared to the original flat programming model.

Understanding Application Performance via Micro-benchmarks on Three Large Supercomputers: Intrepid, Ranger and Jaguar

A performance comparison of three of the fastest machines in the world: IBM’s Blue Gene/P installation at ANL, the SUN-Infiniband cluster at TACC (Ranger) and Cray”s XT4 installation at ORNL (Jaguar) is presented.

Toward message passing for a million processes: characterizing MPI on a massive scale blue gene/P

The communication performance of the message passing interface (MPI) implementation on 32 racks of the largest Blue Gene/P (BG/P) system in the United States (80% of the total system size) is characterized and various interesting insights into it are revealed.

A system level view of Petascale I/O on IBM Blue Gene/P

This work describes the tuning and scaling behavior of the GPFS parallel file system on JUGENE, the largest IBM Blue Gene/P installation worldwide and the first PetaFlop/s HPC resource within the European PRACE Research Infrastructure.

Performance Evaluation of Massively Parallel Systems Using SPEC OMP Suite

An extensive evaluation study of the performance peaks and scalability of these two modern architectures using SPEC OMP benchmarks is presented.

Analyzing Checkpointing Trends for Applications on the IBM Blue Gene/P System

This paper studies the checkpointing overhead seen by applications running on leadership-class machines such as the IBM Blue Gene/P at Argonne National Laboratory, and designs a methodology to assist users in understanding and choosing checkpointing frequency and reducing the overhead incurred.

Parallel I/O Performance for Application-Level Checkpointing on the Blue Gene/P System

This study shows that rbIO and coIO result in 100vó improvement over previous checkpointing approaches on up to 65,536 processors of the Blue Gene/P using the GPFS, and demonstrates a 25vó production performance improvement for NekCEM.
...

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HPC Challenge Awards Competition

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