Philadelphia, PA – Regus at One Liberty Place

1650 Market St suite 3600, Philadelphia, United States, 19103

The venue is centrally located in Center City Philadelphia at One Liberty Place, which is easily accessible by car via I‑76, I‑95, and the Schuylkill Expressway, with several public parking garages nearby. From Philadelphia International Airport (PHL), a taxi or rideshare takes around 20–25 minutes via I‑76 East. Public transit is seamless: the 15th Street and Suburban Station SEPTA stops are a block away, and multiple bus and Regional Rail lines serve Market Street, positioning the venue within a few minutes' walk of major transit hubs.

Pittsburgh, PA – Regus at Keystone Building

500 Grant St Downtown, Suite 2900, Pittsburgh, United States, 15219

The venue is located in downtown Pittsburgh within the Keystone Building on Smithfield Street, easily accessible by car via I‑376 (Parkway West/East), I‑279, and I‑579, with multiple public parking garages nearby. From Pittsburgh International Airport (PIT), approximately 20 minutes away, taxis or rideshares typically follow Parkway into the city. Public transit is excellent—Robert Morris or Steel Plaza subway stations are a short walk away, and multiple bus routes serve downtown corridors.

Explore Our Courses

Performance Optimization on Ascend, Biren, and Cambricon

 21 Hours

Ascend, Biren, and Cambricon are leading AI hardware platforms in China, each offering unique acceleration and profiling tools for production-scale AI workloads.

This instructor-led, live training (online or onsite) is aimed at advanced-level AI infrastructure and performance engineers who wish to optimize model inference and training workflows across multiple Chinese AI chip platforms.

By the end of this training, participants will be able to:

  • Benchmark models on Ascend, Biren, and Cambricon platforms.
  • Identify system bottlenecks and memory/compute inefficiencies.
  • Apply graph-level, kernel-level, and operator-level optimizations.
  • Tune deployment pipelines to improve throughput and latency.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of profiling and optimization tools on each platform.
  • Guided exercises focused on practical tuning scenarios.

Course Customization Options

  • To request a customized training for this course based on your performance environment or model type, please contact us to arrange.
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Migrating CUDA Applications to Chinese GPU Architectures

 21 Hours

Chinese GPU architectures such as Huawei Ascend, Biren, and Cambricon MLUs offer CUDA alternatives tailored for local AI and HPC markets.

This instructor-led, live training (online or onsite) is aimed at advanced-level GPU programmers and infrastructure specialists who wish to migrate and optimize existing CUDA applications for deployment on Chinese hardware platforms.

By the end of this training, participants will be able to:

  • Evaluate compatibility of existing CUDA workloads with Chinese chip alternatives.
  • Port CUDA codebases to Huawei CANN, Biren SDK, and Cambricon BANGPy environments.
  • Compare performance and identify optimization points across platforms.
  • Address practical challenges in cross-architecture support and deployment.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on code translation and performance comparison labs.
  • Guided exercises focused on multi-GPU adaptation strategies.

Course Customization Options

  • To request a customized training for this course based on your platform or CUDA project, please contact us to arrange.
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GPU Programming on Biren AI Accelerators

 21 Hours

Biren AI Accelerators are high-performance GPUs designed for AI and HPC workloads with support for large-scale training and inference.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level developers who wish to program and optimize applications using Biren’s proprietary GPU stack, with practical comparisons to CUDA-based environments.

By the end of this training, participants will be able to:

  • Understand Biren GPU architecture and memory hierarchy.
  • Set up the development environment and use Biren’s programming model.
  • Translate and optimize CUDA-style code for Biren platforms.
  • Apply performance tuning and debugging techniques.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on use of Biren SDK in sample GPU workloads.
  • Guided exercises focused on porting and performance tuning.

Course Customization Options

  • To request a customized training for this course based on your application stack or integration needs, please contact us to arrange.
Read more...

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Upcoming Courses

Performance Optimization on Ascend, Biren, and Cambricon

2025-09-01 9:30 am
21 hours
Philadelphia, PA – Regus at One Liberty Place
$ 4054 (Online)
$ 4054 (Classroom)

Performance Optimization on Ascend, Biren, and Cambricon

2025-09-15 9:30 am
21 hours
Philadelphia, PA – Regus at One Liberty Place
$ 4054 (Online)
$ 4054 (Classroom)

Migrating CUDA Applications to Chinese GPU Architectures

2025-09-29 9:30 am
21 hours
Philadelphia, PA – Regus at One Liberty Place
$ 4054 (Online)
$ 4054 (Classroom)

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