Fast token generation emerges as the key differentiator as heterogeneous inference takes hold

Discover how heterogeneous compute templates optimize fast token generation and lower total cost of ownership for enterprise ...
IEEE

A Performance Modeling and Optimization Analysis Tool for Sparse Matrix-Vector Multiplication on GPUs

Abstract: This paper presents a performance modeling and optimization analysis tool to predict and optimize the performance of sparse matrix-vector multiplication (SpMV) on GPUs. We make the following ...
Hacker

Meet Mojo: The Language That Could Replace Python, C++, and CUDA

So here's the thing - Python is amazing, but it's painfully slow. You know it, I know it, everyone knows it. Enter Mojo, launched in May 2023 by the brilliant minds at Modular AI. This isn't just ...
Ars Technica

Google DeepMind creates super-advanced AI that can invent new algorithms

Google’s DeepMind research division claims its newest AI agent marks a significant step toward using the technology to tackle big problems in math and science. The system, known as AlphaEvolve, is ...
Analytics India Magazine

The World Needs Something Better Than the Transformer

Challenge existing AI architectures as researchers propose alternatives to the dominant Transformer model. Explore xLSTM, a new architecture designed to improve memory management and processing ...
Scientific Research Publishing

Optimizing Memory Access Efficiency in CUDA Kernel via Data Layout Technique ()

Over the past decade, Graphics Processing Units (GPUs) have revolutionized high-performance computing, playing pivotal roles in advancing fields like IoT, autonomous vehicles, and exascale computing.
IEEE

GTCO: Graph and Tensor Co-Design for Transformer-Based Image Recognition on Tensor Cores

Abstract: Deep learning frameworks or compilers optimize the operators in computation graph using fixed templates via significant engineering efforts, which may miss potential optimizations such as ...