Company Filing History:
Years Active: 2008-2011
Title: Innovator Silva Chang: Pioneering Parallel Processing Solutions
Introduction: Silva Chang, an esteemed inventor based in Boulder, Colorado, has made significant strides in the field of technology with a focus on parallel processing systems. With three patents to her name, Chang has demonstrated her commitment to advancing computational methods that enhance efficiency and effectiveness in algorithm processing.
Latest Patents: One of Chang's notable contributions is her patent for a parallel processing system and method. This innovative approach utilizes a plurality of nodes configured as a Howard Cascade to compute algorithms in a time-efficient manner. The home node of this cascade receives requests from host systems to execute specific algorithms. By distributing these requests to processing nodes in a strategic time sequence, the system minimizes overall computation time. Each participating node independently performs designated portions of the algorithm in parallel, resulting in an agglomeration of partial results that are then consolidated and returned to the host system. The nodes feature a library of stored algorithms that include data template information, allowing them to efficiently manage data partitioning among the participating nodes.
Career Highlights: Silva Chang has achieved remarkable success throughout her career with Massively Parallel Technologies, Inc. Her innovative work in parallel computation has not only secured her multiple patents but has also positioned her as a leading figure in the tech industry.
Collaborations: In her journey, Chang has collaborated with several talented individuals, including her coworkers Kevin David Howard and Glen Curtis Rea. Their collective expertise has contributed to the continuous development of advanced computational solutions and the success of projects undertaken at Massively Parallel Technologies.
Conclusion: Silva Chang is a trailblazer in the realm of parallel processing, with her inventive spirit driving substantial advancements in algorithm computation. Through her patents and collaborative efforts, she continues to pave the way for future innovations that will enhance the efficiency of technological systems. Her work reaffirms the importance of innovation in shaping the future of computing technology.