Dealing With Performance Bottlenecks In SoCs


A surge in the amount of data that SoCs need to process is bogging down performance, and while the processors themselves can handle that influx, memory and communication bandwidth are straining. The question now is what can be done about it. The gap between memory and CPU bandwidth — the so-called memory wall — is well documented and definitely not a new problem. But it has not gone away... » read more

Chip Design Shifts As Fundamental Laws Run Out Of Steam


Dennard scaling is gone, Amdahl's Law is reaching its limit, and Moore's Law is becoming difficult and expensive to follow, particularly as power and performance benefits diminish. And while none of that has reduced opportunities for much faster, lower-power chips, it has significantly shifted the dynamics for their design and manufacturing. Rather than just different process nodes and half ... » read more

Planning EDA’s Next Steps


Anirudh Devgan, Cadence's new CEO, and the recipient of the Phil Kaufman Award in December, sat down with Semiconductor Engineering to talk about what's next in EDA, the underlying technology and business challenges and changes, and new markets that are unfolding for floor-planning, verification, CFD, and advanced packaging. SE: Where does EDA need to improve? Devgan: We have made it much... » read more

Amdahl Limits On AI


Software and hardware both place limits on how fast an application can run, but finding and eliminating the limitations is becoming more important in this age of multicore heterogeneous processing. The problem is certainly not new. Gene Amdahl (1922-2015) recognized the issue and published a paper about it in 1967. It provided the theoretical speedup for a defined task that could be expected... » read more

Optimization Driving Changes In Microarchitectures


The semiconductor ecosystem is at a turning point for how to best architect the CPU based on the explosion of data, the increased usage of AI, and the need for differentiation and customization in leading-edge applications. In the past, much of this would have been accomplished by moving to the next process node. But with the benefits from scaling diminishing at each new node, the focus is s... » read more

CEO Outlook: More Data, More Integration, Same Deadlines


Experts at the Table: Semiconductor Engineering sat down to discuss the future of chip design and EDA tools with Lip-Bu Tan, CEO of Cadence; Simon Segars, CEO of Arm; Joseph Sawicki, executive vice president of Siemens IC EDA; John Kibarian, CEO of PDF Solutions; Prakash Narain, president and CEO of Real Intent; Dean Drako, president and CEO of IC Manage; and Babak Taheri, CEO of Silvaco. What ... » read more

Scaling Simulation


Without functional simulation the semiconductor industry would not be where it is today, but some people in the industry contend it hasn't received the attention and research it deserves, causing a stagnation in performance. Others disagree, noting that design sizes have increased by orders of magnitude while design times have shrunk, pointing to simulation remaining a suitable tool for the job... » read more

Software-Defined Hardware Gains Ground — Again


The traditional approach of running generic software on x86-based CPUs is running out of steam for many applications due to the slowdown of Moore’s Law and the concurrent exponential growth in software application complexity and scale. In this environment, the software and hardware are disparate due the dominance of the x86 architecture. “The need for and advent of the hardware accelerat... » read more

Memory Buffer Chips: Satisfying Amdahl’s Law To Sustain Moore’s Law


Moore’s Law, the observation that the available transistors in an integrated circuit doubles every two years, has driven the semiconductor and IT industries to unparalleled growth over the last 50+ years. These transistors have been used in CPUs to increase the number of parallel execution units and instruction fetches, expand the levels of on-chip cache (and overall capacity), support spe... » read more

The Limits Of Parallelism


Parallelism used to be the domain of supercomputers working on weather simulations or plutonium decay. It is now part of the architecture of most SoCs. But just how efficient, effective and widespread has parallelism really become? There is no simple answer to that question. Even for a dual-core implementation of a processor on a chip, results can vary greatly by software application, operat... » read more