Silicon Mechanics created the RCG in 2012 as a way of giving back to the educational community, as obtaining needed research funding has become more difficult in recent years. In particular, the programme is helping to jumpstart research efforts where access to high-performance computing is limited, outdated or was not previously available. The RCG programme is also providing institutions with an opportunity to showcase collaboration across departments and researchers by providing cluster technology to positively impact research efforts.
Previous RCG awardees include Wayne State University in 2014, Tufts University in 2013 and Saint Louis University in 2012. Silicon Mechanics' partners that have donated product to this year's grant include Intel, NVIDIA, Mellanox, Supermicro, Kingston, Bright Computing, Seagate and LSI Logic.
"We designed the cluster grant to provide resources to researchers who were unlikely to receive grants through traditional grant-funding programmes due to the interdisciplinary, collaborative nature of their research or other similar factors", stated Art Mann, Silicon Mechanics' Education/Research/Government Sales Manager. "We have seen the impact that this program has had on our recipient institutions over the past three years, and felt that it was crucial not just to continue the programme but to expand it, allowing us to support even more impactful research."
At CCNY, the HPC cluster will be used in cutting-edge research in biochemistry, chemistry, biology, physics, earth and atmospheric sciences, computer science, engineering, medicine, mathematics, social science, humanities and writing pedagogy.
"For many of our research programmes, this computer cluster is the missing piece that will lower the barriers that kept our work from moving forward smoothly", stated David Jeruzalmi, professor of chemistry and biochemistry in CCNY's Division of Science, who wrote the grant proposal. "This award will touch the research of many colleagues by bringing together researchers from across CCNY, many of whom never knew that their work could be positively impacted by colleagues down the hall or in the next building over."
At Dordt College and at its research partner, Hope College, the HPC cluster will support eight STEM-based research groups and nine distinct faculty members focused on a wide variety of research activities. Those activities include bacterial statistical genetics, processing and analysis of RNA sequencing, phylogenetic trees, computational chemistry, engineering integrity, analyzing genomic sequencing data, population genetic data and more.
"Dordt has traditionally been a liberal arts school", stated Dr. Nathan Tintle, Dordt College's Director for Research and Scholarship. "In recent years, however, we have ramped up our research department in partnership with Hope College and in doing so created a demand for an HPC system. Unfortunately, we don't have the budget to purchase a cluster that would suit our computational needs. Fortunately, Silicon Mechanics sponsors the annual RCG, a programme that we are proud to be involved with. We feel fortunate to have been awarded this grant."