ARC HS4x And HS4xD CPUs


Synopsys’ DesignWare ARC CPUs comprise a family of highly configurable and customizable processor cores, which ship in nearly two billion chips per year. ARC’s popularity in embedded devices makes the company second only to ARM in the number of chips that integrate its licensable CPUs. More than 230 ARC licensees use the cores in products that span a broad range of embedded applications, su... » read more

Supporting CPUs Plus FPGAs


While it has been possible to pair a CPU and FPGA for quite some time, two things have changed recently. First, the industry has reduced the latency of the connection between them and second, we now appear to have the killer app for this combination. Semiconductor Engineering sat down to discuss these changes and the state of the tool chain to support this combination, with Kent Orthner, system... » read more

What Does An AI Chip Look Like?


Depending upon your point of reference, artificial intelligence will be the next big thing or it will play a major role in all of the next big things. This explains the frenzy of activity in this sector over the past 18 months. Big companies are paying billions of dollars to acquire startup companies, and even more for R&D. In addition, governments around the globe are pouring additional... » 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

GPU Accelerated Computing


The computing applications used in semiconductor design and manufacturing have ever-increasing requirements for speed, accuracy and reliability. The continuation of Moore's Law creates a perpetual demand for greater accuracy as, with each new process node, larger numbers of increasingly smaller features are crowded onto each mask and wafer. Computing farms, where thousands of central processing... » read more

GPUs Power Ahead


GPUs, long a sideshow for CPUs, are suddenly the rising stars of the processor world. They are a first choice in everything from artificial intelligence systems to automotive ADAS applications and deep learning systems powered by [getkc id="261" kc_name="convolutional neural network"]. And they are still the mainstays of high-performance computing, gaming and scientific computation, to name ... » read more

Rethinking Processor Architectures


The semiconductor industry's obsession with clock speeds, cores and how many transistors fit on a piece of silicon may be nearing an end for real this time. The [getentity id="22048" comment="IEEE"] said it will develop the International Roadmap for Devices and Systems (IRDS), effectively setting the industry agenda for future silicon benchmarking and adding metrics that are relevant to specifi... » read more

New Metrics For The Cloud


Data centers are beginning to adjust their definition of what makes one server better than another. Rather than comparing benchmarked performance of general-purpose servers, they are adding a new level of granularity based upon what kind of chips work best for certain operations or applications. Those decisions increasingly include everything from the level of redundancy in compute operations, ... » read more

What’s Really Inside?


Is it just paranoia, or do devices ranging from industrial controls to military hardware really contain malicious code, Trojan Horses, and remotely triggered back doors? The answer is "maybe not" if you're an optimist, and "maybe" if you're a pessimist, but no one really knows for sure. And that's what really worries security experts, particularly as more devices are connected to other devices.... » 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