Programmers can no longer rely on the traditional method of targeting specific hardware accelerators with conditional pragmas (e.g., #ifdef) to match the software to the hardware at a particular datacenter or customer site. Humans writing machine-specific code cannot address the exponential increase in possible hardware combinations in the modern multivendor, multiarchitecture computing environment. Open software provides a multiarchitecture, multivendor solution that addresses the complexities of accelerated HPC and AI computing.
This is the first in a series of articles based on interviews with Intel technology leaders about AI/HPC acceleration.
Internal CPU Accelerators and HBM Enable Faster and Smarter HPC and AI Applications We have now entered the era when processor designers can leverage modular semiconductor… Read More »Internal CPU Accelerators and HBM Enable Faster and Smarter HPC and AI Applications
CPU Vendors Compete Over Memory Bandwidth to Achieve Leadership in Real-World Application Performance
By Rob Farber Now is a great time to be procuring systems as vendors are finally addressing the memory bandwidth bottleneck. Succinctly, memory performance dominates… Read More »CPU Vendors Compete Over Memory Bandwidth to Achieve Leadership in Real-World Application Performance
Pooled, also referred to as “converged”, clusters in a unified data environment support disparate workload better than separate, siloed clusters. Vendors now provide direct support… Read More »Workload Optimized Compute Servers Are Creating the Need for Converged Clusters