ibm spectrum lsf

IBM Spectrum LSF goes multicloud

AI, Cloud computing, High-performance computing...

IBM is moving swiftly to implement multicloud capabilities across both our IBM Spectrum Storage and IBM Spectrum Computing portfolios. In an important step for our high-performance computing (HPC) solutions, today we’re announcing the release of a deployment guide that facilitates the use of IBM Spectrum LSF Suite with Amazon Web Services (AWS). IBM Spectrum LSF more

25 years of HPC innovation – IBM Spectrum LSF 10

Cloud object storage, High-performance computing, Hybrid cloud storage...

Even after 25 years, our high-performance computing (HPC) innovations show no signs of slowing. Following the launch of IBM Spectrum LSF Suites Version 10.2, and our acceptance of the 2017 HPCwire Editors’ Choice award for Best HPC Cluster Solution or Technology, we have released the next update to our core scheduler, IBM Spectrum LSF Version more

IBM Spectrum Computing at SC17

AI, Deep learning, High-performance computing...

Imagine the possibilities… Exponential growth in supercomputing clusters, the scaling of complex applications and the convergence of big data is pushing high-performance computing (HPC) to new limits. Make the most of your HPC environment and the technology that is driving the next generation of AI-focused workloads with IBM Spectrum Computing solutions. IBM Spectrum Computing delivers more

Reap the benefits of optimized workload management software

IBM Systems Lab Services, Internet of things, Services...

How do you speed up time to market for electronics in an industry that’s already moving at a rapid-fire pace? One answer is better resource utilization through effective workload management solutions. Mentor Graphics, a US-based global leader in electronic design automation, has a mission to enable companies to deliver better electronic products more quickly and more

Five important considerations for HPC deployments

AI, Deep learning, High-performance computing...

Architecting superior high-performance computing (HPC) clusters requires a holistic approach that responds to performance at every level of the deployment. HPC workloads put massive computational demands on your infrastructure: they involve analyzing huge data sets to solve complex problems, and that means they require supercomputing capabilities. In short, there are many facets to the HPC more

Hybrid cloud, GPUs and containers….as easy as 1,2,3

Cloud computing, Hybrid cloud storage, Storage

Among organizational leaders operating high-performance computing environments today, there is rapidly growing interest in being able to leverage cloud computing resources on demand to augment on-premises resources – to address peaks in demand or to ensure time-critical work can be completed on time.  With more than two decades of experience managing clusters and clouds, we more

The HPC beat goes on

High-performance computing, Software-defined computing, Software-defined storage...

Earlier this year, we wrote about the silver anniversary of IBM Spectrum LSF, a milestone celebration of 25 years of innovation in HPC workload management.  And you’ve come a long way baby!  Over the years, IBM Spectrum LSF has grown from a workload scheduler to a full suite of products designed to give you a more

IBM at DAC: Learn new ways to accelerate EDA workloads

Data security, Integrated infrastructure, Storage...

When it comes to electronic design automation (EDA) technology, time-to-market is critical. Processor manufacturers are under intense pressure to deliver new chip generations that offer faster processing and greater reliability with higher efficiency. As a result, each new generation is more complex and has an increasing number of smaller components with increasing quantities of internal more

Cognitive scheduling yields savings

Software-defined computing, Software-defined storage, Storage...

In my previous blog post, Improving chip yield rates with cognitive manufacturing, I highlighted the costs associated with semiconductor manufacturing, and how cognitive methods can yield benefits in both design and manufacture. The compute farms and private clouds required to run the necessary simulations and verifications can be pretty substantial, with the largest companies deploying more