Predictive Load Handling: Solving a Quiet Bottleneck in Modern DSPs

Predictive Load Handling: Solving a Quiet Bottleneck in Modern DSPs
by Jonah McLeod on 04-17-2025 at 6:00 am

Predictive Load

When people talk about bottlenecks in digital signal processors (DSPs), they usually focus on compute throughput: how many MACs per second, how wide the vector unit is, how fast the clock runs. But ask any embedded AI engineer working on always-on voice, radar, or low-power vision—and they’ll tell you the truth: memory stalls … Read More


Even HBM Isn’t Fast Enough All the Time

Even HBM Isn’t Fast Enough All the Time
by Jonah McLeod on 04-07-2025 at 6:00 am

BW V Latency

Why Latency-Tolerant Architectures Matter in the Age of AI Supercomputing

High Bandwidth Memory (HBM) has become the defining enabler of modern AI accelerators. From NVIDIA’s GB200 Ultra to AMD’s MI400, every new AI chip boasts faster and larger stacks of HBM, pushing memory bandwidth into the terabytes-per-second range. … Read More


RISC-V’s Privileged Spec and Architectural Advances Achieve Security Parity with Proprietary ISAs

RISC-V’s Privileged Spec and Architectural Advances Achieve Security Parity with Proprietary ISAs
by Jonah McLeod on 03-12-2025 at 6:00 am

Security Article Intro ART

Because of its open and modular nature, RISC-V has faced recognizable security challenges stemming from fragmentation, performance inefficiencies, and inherent vulnerabilities. Fragmentation across implementations leads to inconsistencies, making it difficult to enforce uniform security measures. Performance… Read More


Harnessing Modular Vector Processing for Scalable, Power-Efficient AI Acceleration

Harnessing Modular Vector Processing for Scalable, Power-Efficient AI Acceleration
by Jonah McLeod on 02-24-2025 at 6:00 am

shutterstock 2425981653

The dominance of GPUs in AI workloads has long been driven by their ability to handle massive parallelism, but this advantage comes at the cost of high-power consumption and architectural rigidity. A new approach, leveraging a chiplet-based RISC-V vector processor, offers an alternative that balances performance, efficiency,… Read More