Implementation of the fourth generation Defense Research and Engineering Network (DREN), appropriately named “DREN 4”, was completed in June 2023. DREN 4 supports the High Performance Computing Modernization Program (HPCMP) networking mission to provide robust, high-capacity, low-latency connectivity between the HPCMP’s DoD Supercomputing Resource Centers (DSRCs) and user sites. DREN 4 also supports the DoD research, test and engineering missions.
DoD sites are connected to the DREN 4 backbone at bandwidths ranging from 1 Gigabit per second (Gbps) to 100 Gbps. DREN 4 is fully Internet Protocol version 6 (IPv6) enabled, with support for legacy Internet Protocol version 4 (IPv4). DREN 4 complies with all DoD Security Regulations, and provides secure transport for data between DoD sites connected to the DREN backbone as well as the Internet. DREN 4 also provides secure data transfer with NIPRNet and other Federal and academic research networks at multiple peering locations within the continental United States and Hawaii.
Secret DREN (SDREN) is a virtual private network overlay on the DREN backbone using SDREN Service Delivery Routers (SDR) and NSA Type 1 encryptors with a common key. SDREN sites are connected to DREN at a minimum bandwidth of 1 Gbps.
For more information, please review the DREN Service Agreement, the SDREN Connection Approval Process, and/or contact the DREN Operations Team at dren-ops [at] dren.mil.
Each year, the High Performance Computing Modernization Program (HPCMP) surveys the Department of Defense’s (DoD's) most important high-priority, computationally-intensive projects to identify ones that require unique, dedicated high performance computing (HPC) resources in order to meet mission objectives and milestones. These are generally two- to three-year mission-critical projects that require a small onsite HPC system at a laboratory or test center.
Dedicated High Performance Computing Project Investments (DHPIs) are awarded to technically sound, mission-critical projects that cannot be performed at HPC centers due to special operational requirements (e.g., classification level above secret, real-time response, hardware-in-the-loop, embedded implementations, and/or emerging technologies).
All computational scientists and engineers in DoD research, development, and test and evaluation programs who are eligible to use HPCMP resources under the Program's current guidelines may submit a proposal through their Service or Agency.
The DHPI Program Manager may be contacted:
DoD High Performance Computing Modernization Program Attn: DHPI7701 Telegraph Road, Kingman Building
Alexandria, VA 22315-3864
email: hpc-dhpi [at] hpc.mil
The Department of Defense (DoD) High Performance Computing Modernization Program (HPCMP) established DoD HPCMP Dedicated Support Partition (DSP) Projects to support large application software development projects and other types of computational work that need dedicated processors for a period of time within the Fiscal Year to accomplish work that could not otherwise be done in a shared resource environment. A DSP should be proposed exclusively when the computational work requires a substantial length of dedicated time on HPCMP computational resources and cannot be serviced through any of the normal service delivery modes, including batch processing, interactive processing, or the advance reservation service. Upon satisfying this crucial requirement, a DSP proposal can be submitted by any project leader with an active HPCMP computational project by following the process outline in the High Performance Computing Modernization Program (HPCMP) Dedicated Support Partition (DSP) Proposal Process (DoD PKI Required).
The Department of Defense Federal Privacy Rule is codified in the Code of Federal Regulations (CFR) in Title 32 CFR Part 310: Protection of Privacy and Access to and Amendment of Individual Records Under the Privacy Act of 1974.
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The Department of Defense (DoD) established the High Performance Computing Modernization Program (HPCMP) as a department-wide program to provide DoD scientists, engineers, and acquisition professionals with the computational resources needed to develop robust solutions to complete technical challenges.