FPGA design investigates methods for fast prototyping, verification and hardware acceleration. VLSI (Chip Design) creates new circuits and design styles using emerging technologies to improve power, performance, and reliability of future computer systems. Computer architecture research spans the gamut from edge devices like phones to data-center scale computing and includes topics such as high-performance computing (HPC) and low-power design. Computer hardware research has gained interest for hardware acceleration and custom architectures for machine learning, signal processing, and other compute-intensive algorithms. UCSC researchers in these areas publish in conferences such as ASPLOS, DAC, ICCAD, ISCA, and MICRO. We are also studying the approximation properties of NP optimization problems and developing methods for establishing both positive and negative approximation results for such problems.įaculty conducting research in this area:Ĭomputer hardware research at UCSC has several related areas: computer architecture, VLSI (chip design), FPGA design, and design automation. Members of the faculty are searching for efficient, practical algorithms to solve problems in coding, scheduling, logic, computational geometry, information retrieval, and programming-language optimization. Some of the areas we are investigating are described below.Īn algorithm with exponential asymptotic running time is of limited practical value regardless of future advances in hardware technology. The goal of theoretical computer science is to understand the underlying principles of information processing, principles that are invariant with respect to technological change. The goal of pragmatic computer science is to develop systems that fully exploit the capabilities of current computer technology.
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