GPU

Advancements in deep learning are often associated with increasing model sizes. Training and deploying large models require …

Presented a talk about Triton and requested feedback from Intel engineers

Presented a talk about Triton and called for contributions to improving the language

GPUs are widely used in today’s computing platforms to accelerate applications in various domains. However, scarce GPU memory resources …

Presented triton programming language and its next step

Presented triton programming language and a deep learning profiler

Presented a talk about our value profiling tool at ASPLOS'22

Finite-difference methods based on high-order stencils are commonly used for modeling of seismic wave propagation, weather forecasting, …

The US Department of Energy’s fastest supercomputers and forthcoming exascale systems employ Graphics Processing Units (GPUs) to …

As we near the end of Moore’s law scaling, the next-generation computing platforms are increasingly exploring heterogeneous …