Tuning Heterogeneous SoCs


It's one thing to pack multiple processor cores into a design, but it is much more difficult to ensure the hardware matches the software's requirements, or that the software optimally uses the hardware. Both the hardware and software teams are now facing these issues, and there are few tools to help them fully understand the problems or to provide solutions. Design teams continue to add more... » read more

Homogeneous And Heterogeneous Computing Collide


Eleven years ago processors stopped scaling due to diminishing returns and the breakdown of [getkc id="213" kc_name="Dennard's Law"]. That set in motion a chain of events from which the industry has still not fully recovered. The transition to homogeneous multi-core processing presented the software side with a problem that they did not know how to solve, namely how to optimize the usage of ... » read more

Coherency, Cache And Configurability


Coherency is gaining traction across a wide spectrum of applications as systems vendors begin leveraging heterogeneous computing to improve performance, minimize power, and simplify software development. Coherency is not a new concept, but making it easier to apply has always been a challenge. This is why it has largely been relegated to CPUs with identical processor cores. But the approach ... » read more

A Survey of CPU-GPU Heterogeneous Computing Techniques


As both CPU and GPU become employed in a wide range of applications, it has been acknowledged that both of these processing units (PUs) have their unique features and strengths and hence, CPU-GPU collaboration is inevitable to achieve high-performance computing. This has motivated significant amount of research on heterogeneous computing techniques, along with the design of CPU-GPU fused chips ... » read more

The Ubiquitous GPU


By Ann Steffora Mutschler No matter the application area, GPUs are likely playing a role like never before—even to accelerate EDA software algorithms. It’s no wonder given the ability of GPUs to handle parallel processing much more effectively than CPUs. And when coexisting in a heterogeneous system, GPUs allow the design team to maximize efficiency and performance by allocating tasks... » read more