Life sciences organizations face huge pipeline and productivity challenges. To increase discovery productivity, innovate in research and development, and compete more effectively, organizations must establish an optimized, flexible and resilient infrastructure foundation to improve clinical development processes. IBM Platform Computing solutions can help address these challenges.
With shifting regulatory burdens and the need to compress the timeline from discovery to approval, your research teams need comprehensive, high performance technical computing infrastructure solutions with the flexibility to process massive amounts of data and support increasingly sophisticated analyses.
The IBM® Platform Computing solutions provide cluster, grid and high performance computing (HPC) cloud management software to support your HPC hardware and technical computing application. These offerings are designed to accelerate time-to-results for compute- and data-intensive applications running on distributed technical and analytics computing environments, helping to manage workloads as diverse as genome sequencing, drug design, simulations, product design analysis, and risk management.
The IBM Platform Computing™ product family helps to improve life sciences IT professionals’ confidence that all available resources are fully utilized—from application software licenses to available network bandwidth.
Application software solutions help manage and accelerate workload processing and guarantee their completion across a distributed, shared IT environment, while fully utilizing all HPC resources—regardless of operating system or architecture.
Scheduling capabilities help allocate resources to users, groups and jobs in a fashion consistent with service level agreements (SLAs). With extended SLA-based scheduling policies, these software solutions simplify administration and ensure optimal alignment of business SLAs with available infrastructure resources.
By improving utilization, resources are more readily available, helping researchers to get more work done in a shorter amount of time. This can improve collaboration across the clinical development value chain for better insights and superior results. Platform Computing solutions are designed to help:
- Optimize resource utilization and reduce costs with robust workload management
- Increase throughput for faster time-to-results with intelligent scheduling
- Improve productivity with simple, intuitive management
Realize big savings on your big data or grid computing project.
A dynamic, multi-disciplined R&D computing platform using a hybrid private cloud-cluster infrastructure model
The Wellcome Trust Sanger Institute
The Wellcome Trust Sanger Institute produces 120TB of raw data per week that has to be processed for analysis. Platform LSF helped the Institute run up to half a million sequence matching jobs a day, resulting in improved workload management, researchers’ efficiency and time-to-results. Read the story (PDF, 1.40MB)
Apr 09 - The Expo provides the perfect venue to share information and discuss enabling technologies that are driving biomedical research and the drug development process. Visit IBM booth 237 to learn more about computing solutions for life sciences. Boston, MA
Jun 10 - In just a few high-powered days, you can connect with IT leaders and practitioners from all industries to discover new innovations and learn industry best practices for managing storage growth, accelerate and optimize x86 server and cloud deployments, unlock insights from big data and secure critical information. Las Vegas, NV