IEEE World Technology Summit 2024

Solving the burning technology issues of our day

To enable existing and future applications for artificial intelligence, many challenges must be overcome in the areas of computing and communication infrastructure. WTS sponsoring companies have cited the following topics as integral to meeting these challenges.

Issues span devices at all levels, including components, systems, and complexities.

Topics for Meeting Challenges

• Possible training review  of new methodology in AI/ML
• AI/ML utilization on Chip, Board, and System design
• Using AI to tune and manage data centers
• AI demands for key applications: LLM, Medical, Cyber-Physical Systems, Automonous Systems, …

Silicon Technology Development

• Memory Bottleneck solutions with next-generation computing
• Optical and UCIe interconnects
• Comparing FPGA to eFPGA effectiveness
• CXL technology and CXL based memory
• Disaggregated systems and data movement models
• Advancing reliability of large scale computing systems
• Optical Interconnects
• Evolution of Chiplet-based design UCIe interconnects

• Immersion cooling methods: solutions and standards 
• Driving down power costs with Green Power
• Standards for Carbon footprint measures
• Addressing AI demands for server power
• Immersion cooling methods, large-scale production methodology
• Driving down costs for effective “Green” power source
• Standardization on how we measure carbon footprint
• Energy-aware processing for sustainability (use lowest power cores (geo/solar) or CPU vs GPU or accelerator for given tasks at given perf level)
• Large scale fabric simulation techniques and optimizations
• System level benchmarking
• Framework for Accelerated Cloud microservices and workloads
• Scale up and scale out interconnect optimizations
• Efficient large-scale orchestration of heterogeneous accelerators
• Schedulable/reconfigurable network topologies
• Software performance engineering for emerging distributed and disaggregated systems

• Dramatically reducing the overhead and burden of security solutions with both HW and SW
• Hardening security to avoid risks and advances in quantum computing
• Making the root of trust in the server
• Accelerating security methods in SW/HW
• Privacy on public cloud data lakes
• Standards for AI interfaces LLM, Cyber Physical systems, etc.

These topics suggested by: