Applied Mathematics | Kalyan Perumalla

Exploratory Research for Extreme-Scale Science (EXPRESS)

Sat, 01 Feb 2025 00:00:00 +0000

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B) Local and Campus-Area Quantum Networking for Next Generation Parallel Quantum Computing

Quantum networking involves effective communication of quantum information among geographically distributed quantum systems, separated by short or long distances. Sources of quantum information in the network communication include qubits used in different forms of quantum computing or output from various quantum sensing devices.

This topic seeks advancements in quantum networking over short distances to enable parallel quantum computing within a building and integration of quantum information sources to storage and quantum computing across a campus area. The interconnection of different co-located quantum computing systems is aimed at increasing the scale of quantum computation (e.g., aggregate number of qubits) and at progressing towards an architecture of flexible connectivity of quantum devices across a laboratory or university campus, potentially composing heterogeneous quantum computing hardware, including broadening of networking from exchange of physical qubits to logical qubits.

Research Area

The specific aim of this topic is to support quantum science needed to effectively scale quantum computing and enable flexible exchanges of coherent quantum information via locally networked heterogeneous quantum systems. Proposals must address one or more research advancements in the aforementioned directions in local and campus-area quantum networking. Research must be aimed at advancing our understanding of aspects, such as core concepts, devices, architectures, integration, and interfaces, that are necessary for a quantum counterpart to the current infrastructures of classical local and campus area networks within the scientific and other facilities.

Scientific Discovery through Advanced Computing (SciDAC) Institutes

Sat, 01 Feb 2025 00:00:00 +0000

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The DOE Office of Science (SC) program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in receiving proposals from large multi-disciplinary and multi- institutional teams for the Scientific Discovery through Advanced Computing (SciDAC) Institutes, as part of the SC SciDAC Program.

The ASCR program’s mission (https://science.osti.gov/ascr and https://science.osti.gov/ascr/Community-Resources/Program-Documents) is to advance applied mathematics and computer science; deliver the most sophisticated computational scientific applications in partnership with disciplinary science; advance computing and networking capabilities; and develop future generations of computing hardware and software tools for science and engineering, in partnership with the research community.

The SciDAC Program (https://www.scidac.gov) was initiated in 2001 as an SC-wide program to dramatically accelerate progress in scientific discovery via advanced computing. SciDAC consists of ASCR-funded SciDAC Institutes and SciDAC Partnerships co-funded by ASCR with SC and other DOE programs. Since its inception, the SciDAC program has been recognized as a leader in enabling scientific discoveries that would not have been possible without the deep collaborations between discipline scientists, applied mathematicians, and computer scientists.

This Announcement seeks proposals for SciDAC Institutes, which are a key part of the SciDAC program. Specifically, this Announcement is for the selection for award of proposals for two types of SciDAC Institutes: Computer Science Institute (CSI), and Applied Mathematics Institute (AMI).

Competitive Portfolios for Advanced Scientific Computing Research

Mon, 01 Jan 2024 00:00:00 +0000

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To ensure continued leadership in delivering on the promise of computational science, and drive innovation in energy-efficient and versatile high-performance computing for science, ASCR seeks to invest in DOE National Laboratory-led portfolios that:

Support long-term, high-impact research,
Aggressively respond to, and take advantage of, emerging science and technology trends, and
Collaborate with a diverse community of the most-promising academic and industry partners.

Research Proposals: Each Laboratory is limited to leading one proposal in response to this Announcement. The Principal Investigator (PI) must be a Laboratory division director or a manager with equivalent supervisory responsibilities. The proposal narrative (at most 30 pages) must provide a Laboratory vision and management plan for the portfolio of capabilities stemming from the proposed research and development in scientific computing. The narrative is comprised of one or more research Thrusts. Each Thrust must have a Laboratory Senior/Key Personnel (SKP) as the Lead along with other SKPs and researchers. Overall, the proposal must describe the research Thrusts and integration Tasks needed to enable new scientific computing- based capabilities that address national priorities in energy, the environment, and national security. The proposal should describe how the overall vision and each Thrust take advantage of the responding Laboratory’s, and each partnering institution’s, distinctive expertise and capabilities.

Research Thrusts: A Thrust is a distinct, focused area of basic research in scientific computing.

Applied Mathematics: Single-facet Thrusts require and build on research expertise in a core area such as s linear algebra and nonlinear solvers, discretization and meshing, multi-scale mathematics, discrete mathematics, optimization, complex systems, emergent phenomena, and applied analysis methods including but not limited to analysis of large- scale data, uncertainty quantification, and error analysis, or related topics. [4, pg. 281]
Computer Science: Single-facet Thrusts require and build on research expertise in a core area such as programming languages, high-performance computing tools, peta- to exa- scale scientific data management and scientific visualization, distributed computing infrastructure, programming models for novel computer architectures, and automatic tuning for improving code performance, or related topics. [4, pg. 281]
Advanced Computing Technologies and Testbeds: Access to resources to test and develop new tools, libraries, languages, etc. is an important enabling capability [4, pg. 281]. Thrusts focused on the establishment and development of testbeds1 that offer promising paths to versatile energy-efficient computing, addressing among other challenges, the data storage and movement requirements of artificial intelligence and simulation workloads may be proposed in response to this Announcement. Computing hardware should be interpreted broadly to include computational, memory, networking,

Exploratory Research for Extreme-Scale Science (EXPRESS)

Mon, 01 Jan 2024 00:00:00 +0000

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Extreme-scale science recognizes that disruptive technology changes are occurring across science applications, algorithms, computer architectures and ecosystems. Recent reports point to emerging trends and advances in high-end computing, massive datasets, visualization, and artificial intelligence on increasingly heterogeneous architectures. Significant innovation will be required in the development of effective paradigms and approaches for realizing the full potential of scientific computing from emerging technologies. Proposed research should not focus on a specific science use case, but rather on creating the body of knowledge and understanding that will inform future advances in extreme-scale science. Consequently, the funding from this FOA is not intended to incrementally extend current research in the area of the proposed project. It is expected that the proposed projects will significantly benefit from the exploration of innovative ideas or from the development of unconventional approaches.

Exploratory Research for Extreme-Scale Science (EXPRESS) opportunities exist for the following research topics:

A. Harnessing Technology Innovations to Accelerate Science through Visualization
B. Scalable Space-Time Memories for Large Discrete/Agent-Based Models
C. Neuromorphic Computing
D. Advanced Wireless
E. Quantum Hardware Emulation

Applications submitted in response to this FOA must substantially address one among the preceding list of research topics.