Hardware Acceleration Courses and Certifications

Computational Genomics Summer Institute CGSI

Acceleration of Bioinformatics Workloads Through Hardware-Algorithm Co-Design and Processing-in-Memory Technologies

Explore hardware-algorithm co-design and processing-in-memory technologies for accelerating bioinformatics workloads, focusing on genomic sequence analysis and mapping techniques.

• YouTube
• 31 minutes
• On-Demand
• Free Video

DPDK Project

Suricata With Rte_flow: Improving the Performance of IPS and IDS With Hardware Acceleration

Discover how to enhance IDS/IPS performance in high-speed networks using Suricata with rte_flow API in DPDK, featuring hardware acceleration techniques and performance evaluation with Suricata-CI.

• YouTube
• 29 minutes
• On-Demand
• Free Video

gRPC Tapping Filter with Hardware Acceleration in Service Mesh

Explore gRPC tapping filter optimization in service mesh, featuring streaming Grpc Sink and hardware-accelerated memory copy for improved performance and scalability in high-traffic microservice architectures.

• YouTube
• 32 minutes
• On-Demand
• Free Video

SNIAVideo

Intel IPU and NVMe Initiator with SPDK - Introduction to Hardware Integration and Acceleration Framework

Discover how Intel's IPU hardware and SPDK Acceleration Framework optimize storage workflows, enhance data movement, and improve efficiency through hardware offloading capabilities for cloud service providers.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Function Acceleration on FPGA with Vitis-Part 1: Fundamental

218 ratings at Udemy

Master FPGA-based function acceleration using C/C++ in Xilinx Vitis, from basic concepts to implementing real projects on Zynq platforms without HDL programming.

• Udemy
• 9 hours 26 minutes
• On-Demand
• Paid Course

Hands-On ZYNQ: Mastering AXI4 Bus Protocol

196 ratings at Udemy

Create Verilog and C codes for implementing the AXI4 bus protocol on ZYNQ FPGA

• Udemy
• 3 hours 36 minutes
• On-Demand
• Paid Course

Embedded System Design with Xilinx Zynq SoC and Vitis IDE

166 ratings at Udemy

Master embedded system design using Xilinx Zynq SoC, from basic GPIO to complex peripherals like AXI controllers. Hands-on labs cover hardware acceleration, debugging, and software profiling with Vivado and Vitis IDE.

• Udemy
• 10 hours 58 minutes
• On-Demand
• Paid Course

Embedded System Design with Xilinx ZYNQ SoC and SDK

113 ratings at Udemy

Master embedded system design using Xilinx ZYNQ SoC, from basic GPIO to complex peripherals like AXI controllers. Develop C applications, implement hardware acceleration, and optimize performance through debugging and profiling.

• Udemy
• 12 hours 15 minutes
• On-Demand
• Paid Course

FPGA computing systems: Partial Dynamic Reconfiguration

Explore dynamic reconfiguration in FPGAs, covering device mechanisms, design methodologies, and tools for creating adaptable systems. Learn to implement flexible hardware solutions for evolving application demands.

• Coursera
• 1 day 3 hours 27 minutes
• On-Demand
• Paid Course

Introduction to On-Device AI

26 ratings at Coursera

Learn to deploy AI models on edge devices, reducing latency and enhancing privacy. Master key concepts, convert models, optimize performance, and integrate into mobile apps for efficient on-device AI.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

AI Infrastructure: Cloud TPUs

10 ratings at Coursera

Unlock Google's Tensor Processing Units to optimize AI workloads, compare accelerators, maximize model performance, and master GPU/TPU interoperability for ML workflows.

• Coursera
• 3 hours 3 minutes
• On-Demand
• Paid Course

AI Infrastructure: Cloud GPUs

Discover how CPUs, GPUs, and TPUs power AI workloads and learn to select optimal compute resources for your projects on Google Cloud's AI infrastructure.

• Coursera
• 2 hours 3 minutes
• On-Demand
• Paid Course

Consolidation in Benchmarking, Optimization, and Ecosystem Collaboration for AI ASICs

探讨AI ASIC的基准测试、优化和生态系统协作,聚焦ByteMLPerf工具如何助力ASIC评估,提高易用性、多功能性和性能,以更好地反映实际应用场景。

• YouTube
• 21 minutes
• On-Demand
• Free Video

SK AI SUMMIT 2024

SK Hynix PIM (AiM) 기반 생성형 AI 모델 가속기 플랫폼

Discover SK하이닉스's innovative AiM-based accelerator platform, designed to overcome limitations in generative AI models like GPT through Processing-in-Memory technology, offering enhanced performance and energy efficiency.

• YouTube
• 17 minutes
• On-Demand
• Free Video

TheIACR

Data Flow Oriented Hardware Design of RNS Based Polynomial Multiplication for SHE Acceleration

Explores hardware design for efficient polynomial multiplication in Somewhat Homomorphic Encryption, focusing on Residue Number System and data flow optimization techniques.

• YouTube
• 20 minutes
• On-Demand
• Conference Talk