The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized ...

CATALOG DESCRIPTION: Parallel computer architecture and programming models. Message passing and shared memory multiprocessors. Scalability, synchronization, memory consistency, cache coherence. Memory ...

BURLINGAME, Calif.--(BUSINESS WIRE)--Quadric (quadric.io), an innovator in high-performance edge processing, has introduced a unified silicon and software platform that unlocks the power of on-device ...

Sotirios G. Ziavras, PhD, a professor in the department of electrical and computer engineering, and director of the NJIT Computer Architecture and Parallel Processing Laboratory recently received the ...

Students gain advanced knowledge of algorithms; computational biology; computer architecture; computer graphics and visualization; computer systems design; database systems; computer security; ...

Back in 1965, Intel cofounder Gordon Moore predicted that the semiconductor industry could double the number of transistors on a chip every 12 months (he later amended it to 24 months) for about the ...

Heterogeneous Computing, Software Defined Networking, Machine Learning, High Performance Networking, Parallel and Distributed Processing, Embedded Systems. Data analytics with machine learning, ...

NVIDIA’s CUDA is a general purpose parallel computing platform and programming model that accelerates deep learning and other compute-intensive apps by taking advantage of the parallel processing ...

For nearly 10 years, computer processors have been getting faster by using multiple cores rather than raising their individual speeds. This measure makes our PCs and smartphones more power-efficient, ...