Abstract: This high-tech DAS recognizes objects and lane lines using OpenCV, PyTorch, and PyCUDA. Image processing helps the lane-line detecting system track accurately. The object detection module ...

Algorithms, examples and tests for denoising, deblurring, zooming, dequantization and compressive imaging with total variation (TV) and second-order total generalized variation (TGV) regularization.

During loop processing tensor model inference, in the middle of the loop will appear “pycuda._driver.LogicError: cuMemHostAlloc failed: OS call failed or operation not supported on this OSXXX failure ...

Traditionally, the speed and capacity of supercomputers have more or less doubled every second year by squeezing twice as many transistors onto the same chip area. This development, characterized by ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

In Part 1 of our series, we detailed the hardware choices and benchmarked the various GPUs and CPUs used in the HPU4Science scientific computation cluster. The cluster is built in a master-worker ...

Mathematical modelling is central to systems and synthetic biology. Using simulations to calculate statistics or to explore parameter space is a common means for analysing these models and can be ...

Spiking models can accurately predict the spike trains produced by cortical neurons in response to somatically injected currents. Since the specific characteristics of the model depend on the neuron, ...