Power of Productivity Enhancement in AI Software Stack Development
Being deeply involved in the creation of AI software stacks, MulticoreWare is aware of the complex issues involved and the necessity of accuracy and quickness.
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Machine Learning and Predictive Analytics
The client is one of the leading chip manufacturers in the industry. They were trying to benchmark and enhance the multithreaded Machine Learning (ML) Inference Performance on high core count CPUs.
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Role of WebAssembly in Serverless Computing
WebAssembly (often abbreviated as WASM) is a low-level binary format and virtual machine that is designed to be executed by web browsers.
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Optimizing & Enhancing the Performance of an Image Processing Algorithm
This case study emphasizes our role in creating an optimized pipeline for Chroma Correction Algorithm and future enhancements for one of our clients.
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Intermediate Representation Support for ML Engine
This case study emphasizes the role of MulticoreWare in creating and implementing a software layer to enable PyTorch backend support using the client’s existing software stack.
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Optimize NN Ops and stitch inference pipeline for AI Accelerator Hardware
The client is the leader in memory-efficient computation for Artificial Intelligence workloads. The customer provides ultra-efficient, high-performance AI chips to enable new frontiers in AI applications.
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