: A rectangular graphic representing ASIM (Agent-based Integrated Model for Complex Networks), featuring interconnected nodes and lines to symbolize network connections. The nodes vary in size, suggesting power-law degree distributions. Visual elements depict traffic flow, geographic boundaries, and economic interactions. Subtle representations of regulatory policies and security measures, like locks or shields, are included to indicate the study of impacts and countermeasures. The design is modern and tech-oriented, with a color palette of blues and greens, and the title "ASIM" is displayed in a sleek, futuristic font.

ASIM is an agent-based modeling framework that simulates the structure, dynamics, and emergent behaviors of large-scale, Internet-like complex networks by incorporating factors such as traffic, geography, economics, policies, and security threats to enable more accurate analysis and prediction of real-world network phenomena.

 Stylized logo with the words "Berkeley UPC Unified Parallel C" in large, light-colored text on a black background, surrounded by circuit-like lines and circles suggesting technology and connectivity.

Berkeley UPC is a portable, high-performance implementation of the Unified Parallel C (UPC) language, designed for high-performance computing on large-scale parallel machines, utilizing GASNet for efficient communication across shared and distributed memory systems.

 A graphic for Berkeley Lab Checkpoint/Restart (BLCR) for Linux, featuring interconnected nodes and processors to symbolize parallel computing. The design includes computer servers, network connections, and digital checkpoints, representing the process of saving and restarting application states. The acronym 'BLCR' is prominently displayed in a sleek, professional font, set against a modern, tech-oriented color palette of blues and greens.

Berkeley Lab Checkpoint/Restart (BLCR) for Linux is a hybrid kernel/user implementation designed to enable robust checkpointing and restarting of parallel applications, particularly those using MPI, without requiring modifications to application code, ensuring compatibility with SciDAC Scalable Systems Software.

 A graphic for the Berkeley Container Library (BCL), featuring interconnected circular nodes and lines that symbolize high-performance data structures like queues, hash tables, and Bloom filters. The design suggests cross-platform compatibility and one-sided communication primitives, with visual cues for integration with MPI, OpenSHMEM, GASNet-EX, and UPC++. The color palette is modern and tech-oriented, with dominant yellow tones against a black background, inspired by the Berkeley UPC logo.

The Berkeley Container Library (BCL) is a set of generic, cross-platform, high-performance data structures for irregular applications, including queues, hash tables, Bloom filters and more. BCL is written in C++ using an internal DSL called the BCL Core that provides one-sided communication primitives such as remote get and remote put operations. The BCL Core has backends for MPI, OpenSHMEM, GASNet-EX, and UPC++, allowing BCL data structures to be used natively in programs written using any of these programming environments.

 The logo features the word "BOSKit" in a sleek, dark blue font. The letter "O" is stylized as a circular saw blade in yellow, with intricate circuit-like patterns inside, representing technology and innovation. The overall design combines elements of machinery and digital connectivity, reflecting the brand's focus on tech-driven solutions.

AQT is a collaborative facility that designs, fabricates, and operates superconducting quantum processors, enabling DOE scientists to co-develop and implement quantum algorithms for solving challenging problems in optimization, materials science, and high-energy physics on current noisy, intermediate-scale quantum hardware.

 A high-resolution graphic for the CORVETTE software, illustrating correctness verification and testing of parallel programs. The design features interconnected nodes and digital circuits, symbolizing advanced technology and precision. Abstract representations of data flow highlight hybrid parallelism, including dynamic tasking, directive-based programming, and data parallelism. The color scheme is modern and tech-oriented, using shades of blue and silver to convey sophistication and reliability, with a sleek and professional appearance that emphasizes correctness and scalability.

CORVETTE (Correctness Verification and Testing of Parallel Programs) develops advanced tools for correctness verification and bug detection in hybrid and large-scale parallel programs, enabling precise, scalable identification of concurrency errors and non-determinism across diverse programming models and architectures.

 high-resolution graphic for the DEGAS project, illustrating dynamic exascale global address space programming environments. The design features interconnected nodes, data flow, and digital circuits, symbolizing advanced programming models and runtime systems. The color scheme includes shades of green and blue, representing energy efficiency and resilience, with a sleek and professional appearance suitable for ultra-scale science and energy applications. The text "DEGAS" is centered, emphasizing the project's focus on scalability, resilience, and interoperability in exascale computing.

The Dynamic Exascale Global Address Space Programming Environments (DEGAS) project developed next-generation programming models, runtime systems, and tools for exascale computing, advancing scalable, resilient, and energy-efficient Partitioned Global Address Space (PGAS) environments with enhanced programmability, performance portability, and interoperability for diverse scientific applications.

 Graphic for the FastOS and Tessellation projects, featuring interconnected nodes and digital circuits against a tech-themed background. The design symbolizes advanced operating system architectures and resource management for manycore and exascale systems, emphasizing flexible, partitioned, and energy-aware environments. The text "FastOS" and "Tessellation" are prominently displayed, highlighting the project's focus on innovative computing solutions.

The FastOS and Tessellation projects pioneered new operating system architectures and resource management strategies for manycore and exascale systems, enabling flexible, partitioned, and energy-aware environments that support high-performance and client computing on future large-scale and heterogeneous hardware.

 A graphic featuring a futuristic and technological theme with interconnected nodes forming a network pattern on the left, and a digital grid resembling a circuit board on the right. The background is a deep teal with circuit patterns, and the words "FastOS" and "Tessellation" are prominently displayed, conveying concepts of speed and structured design in computing.

The Intel Parallel Computing Center: Big Data Support on HPC Systems project aims to redesign and optimize data analytics frameworks—particularly Apache Spark—for high-performance computing (HPC) environments, addressing architectural mismatches between data centers and supercomputers to enable scalable, efficient big data analytics on systems with up to tens of thousands of cores.

 A graphic featuring the text "PyFloT" in a sleek, modern font, set against a backdrop of digital grids and floating-point symbols. The design uses a color palette of deep blue and silver to evoke themes of precision and technological accuracy, with abstract mathematical functions and circuit patterns symbolizing data processing and performance tuning in high-performance computing.

PyFloT is a precision tuning tool that helps identify opportunities to safely lower floating-point precision in performance-critical code regions, reducing execution time while maintaining correctness in scientific applications.

 The ExaBiome graphic features a modern design with elements like DNA strands, microbial cells, and digital grids, symbolizing genomic sequencing and data processing. It includes motifs of interconnected networks and computational nodes, representing the integration and dynamics of complex microbial communities. The color palette of green and blue evokes a sense of innovation and environmental science, reflecting the advanced nature of bioinformatics and biotechnology.

The ExaBiome project developed scalable, high-performance tools for metagenome assembly and protein analysis that leverage exascale computing to enable rapid, comprehensive analysis of massive and complex microbial community datasets, accelerating discoveries in environmental, agricultural, and medical biotechnology.

 graphic features a modern and scientific design, with the text "SIMCoV" prominently displayed. The image includes elements like lung cells, immune cells, and viral particles, symbolizing the cell-by-cell spread of respiratory infections. A computational grid overlays the background, representing the detailed simulation process, while the color palette of red and blue evokes themes of biological science and technology.

SIMCoV is a large-scale computational model that simulates the cell-by-cell spread of respiratory viral infections in the lungs, capturing detailed interactions between lung cells and immune responses to better understand infection dynamics and outcomes.

 This graphic features the text "symPACK" in bright white, with a subtitle "Sparse Symmetric Matrix Direct Linear Solver." The design includes elements like matrix grids, computational nodes, and a GPU symbol, representing the solver's capabilities in numerical computations and data processing. The background is composed of abstract numerical patterns and digital motifs in a blue and silver color palette, conveying a sense of technological precision and advanced computing.

symPACK is a high-performance software tool that quickly and efficiently solves large systems of equations involving sparse, symmetric matrices—common in scientific and engineering problems—with the ability to leverage advanced graphics processors (GPUs) for even faster results.

 A graphic with the title "PAGODA PROJECT" and the subtitle "Developing High-Performance Computing Software under the PGAS Model" in bold white and green text on a dark teal background. The right side features a network of glowing green circuit lines and nodes connected to square processor-like shapes, symbolizing advanced computing and digital connectivity. The background includes a faint grid and subtle digital patterns, evoking themes of technology and high-performance computing infrastructure.

The Pagoda Project sought to advance high-performance computing by developing state-of-the-art software and infrastructure based on the Partitioned Global Address Space (PGAS) model, in collaboration with partners across industry, government, and academia.