Intel’s James Reinders writes that the company is now offering a set of free Intel C++ parallel programming tools (and discounts on Fortran tools) for students.
These are serious tools to achieving high performance results with C++ programming through optimization, analysis and support for the latest standards. These are interesting in advanced course work, or any time parallel programming is being done.
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[SPONSORED GUEST ARTICLE] In tech, you’re either forging new paths or stuck in traffic. Tier 0 doesn’t just clear the road — it builds the autobahn. It obliterates inefficiencies, crushes bottlenecks, and unleashes the true power of GPUs. The MLPerf1.0 benchmark has made one thing clear ….
Today, every high-performance computing (HPC) workload running globally faces the same crippling issue: Congestion in the network.
Congestion can delay workload completion times for crucial scientific and enterprise workloads, making HPC systems unpredictable and leaving high-cost cluster resources waiting for delayed data to arrive. Despite various brute-force attempts to resolve the congestion issue, the problem has persisted. Until now.
In this paper, Matthew Williams, CTO at Rockport Networks, explains how recent innovations in networking technologies have led to a new network architecture that targets the root causes of HPC network congestion, specifically:
– Why today’s network architectures are not a sustainable approach to HPC workloads
– How HPC workload congestion and latency issues are directly tied to the network architecture
– Why a direct interconnect network architecture minimizes congestion and tail latency
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