E. O. Nestvold IBM Houston C. B. Su IBM Dallas J. L. Black Landmark Graphics Denver I. G. Jack BP Exploration London Two-way travel time surface of top reservoir event, Kuparuk field, Alaska. Data ...

One particular frustration with the UNIX shell is the inability to easily schedule multiple, concurrent tasks that fully utilize CPU cores presented on modern systems. The example of focus in this ...

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 ...

Microsoft has shared bits and pieces of how it is adding new features to its development tools to better support parallel processing. But the next release of Windows client and server also are going ...

Micron’s Automata Processor (AP) uses a unique parallel processing technique that exploits the company’s memory technology (Fig. 1). The parallel processor is similar to an FPGA and a content ...

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 ...

The ability to learn new tasks and generalize to others is a remarkable characteristic of both human brains and recent artificial intelligence systems. The ability to perform multiple tasks ...

Parallel scan is a fundamental primitive widely used in a broad range of workloads, including parallel sorting, graph algorithms, and sampling in large language model inference. Although GPU-optimized ...

DDR3 memory systems can provide a significant performance boost to a variety of data processing applications. However, compared to previous generations (DDR and DDR2), DDR3 memory devices have some ...