Demand for computing power—fueled largely by artificial intelligence (AI)—shows no signs of abating. Yet, as AI becomes a ...

Quantum computing will not deliver truly useful business results overnight, but the pace of progress is no longer linear; ...

The rapid advancements in Artificial Intelligence (AI) are closely intertwined with the evolution of Graphics Processing Units (GPUs). However, with ...

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units.

Enterprises will want to evaluate how this game-changing move by the AI juggernaut can effectively enhance their AI and ...

The PD-General framework improved computational speed by up to 800 times on a consumer-grade Nvidia RTX 4070 compared to traditional serial processing methods.

By using hand-tuned algorithms, the native rendering is halfed by resolution and then upscaled with AI to achieve higher framerates compared to what could be done natively.

In a world increasingly shaped by artificial intelligence, big data, 3D modeling, and high-performance computing, businesses ...

In this article we’ll discuss the porting and optimization challenges of GPU computing as well as a future in which those challenges are more effectively addressed. Software-Hardware Mismatch: ...

A high-performance algorithm that could solve complicated material design problems on consumer GPUs has been developed by Chinese researchers, achieving a groundbreaking 800-fold increase in speed ...