Jiong Gong
Employers on the program
- 2023Intel2 talks
Appearances by year
- PyTorch Conference
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Oct 16, 2023 | PyTorch Conference 2023 | PyTorch Conference | poster | 2.X Poster Presentations as Intel Accelerating Normalization Under Torch.Compile with Tl.Reduce - Peter Bell, Quansight This poster will showcase my recent (and ongoing) work allowing…Show lessAccelerating Normalization Under Torch.Compile with Tl.Reduce - Peter Bell, Quansight This poster will showcase my recent (and ongoing) work allowing TorchInductor to calculate the variance in a single pass over the input; which results in large speedups for torch.compile'd normalization layers.... | |
| Oct 16, 2023 | PyTorch Conference 2023 | PyTorch Conference | lightning talk | Lightning Talk: Accelerating Inference on CPU with Torch.Compile as Intel For the torch.compile CPU backend, we have optimized the static shapes of the float32 path and achieved good performance speedups on popular models. Starting…Show lessFor the torch.compile CPU backend, we have optimized the static shapes of the float32 path and achieved good performance speedups on popular models. Starting with PyTorch 2.0, we have further enhanced this feature by addressing several issues and optimizing the bfloat16 precision path. The dynamic... |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Animesh Jain | 1 | 1 | 2023 |
| Jerry Zhang | 1 | 1 | 2023 |
| Peter Bell | 1 | 1 | 2023 |
| Weiwen Xia | 1 | 1 | 2023 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.