Technology9

Tag: high-performance computing

  • In Network Compute

    In-network compute refers to the concept of performing computational tasks within the network infrastructure itself, such as switches, routers, or network interface cards (NICs), instead of relying solely on traditional centralized computing devices. This approach reduces latency, optimizes bandwidth, and improves overall system efficiency by processing data closer to its source or within the data…

  • Accelerated Computing

    Accelerated computing refers to the use of specialized hardware and software technologies to perform complex computations faster than traditional general-purpose CPUs. These technologies include GPUs (Graphics Processing Units), TPUs (Tensor Processing Units), FPGAs (Field Programmable Gate Arrays), and custom accelerators. This paradigm is pivotal in domains like artificial intelligence, machine learning, scientific simulations, and data…

  • TFLOPS

    TFLOPS, short for Tera Floating Point Operations Per Second, is a unit of measurement that quantifies a computer system’s ability to execute one trillion (10¹²) floating-point operations per second. Floating-point operations are essential for complex computations in scientific research, machine learning, gaming, and real-time simulations. TFLOPS is used as a benchmark to evaluate high-performance computing…

  • FLOPS

    FLOPS, or Floating Point Operations Per Second, is a metric used to measure the performance of a computer system, particularly its ability to handle arithmetic calculations involving floating-point numbers. Floating-point arithmetic is critical in fields such as scientific computing, machine learning, simulations, and graphics rendering, where precision is essential. FLOPS quantifies the number of calculations…

  • GPU & CPU integration

    As computational demands continue to increase, particularly in fields such as machine learning, scientific computing, and 3D rendering, the need for faster, more efficient processing has driven innovation in hardware architectures. One of the most significant advancements in recent years is the integration of Graphics Processing Units (GPUs) with Central Processing Units (CPUs). This combination…