Improving Memory Efficiency And Performance


This is the second of two parts on CXL vs. OMI. Part one can be found here. Memory pooling and sharing are gaining traction as ways of optimizing existing resources to handle increasing data volumes. Using these approaches, memory can be accessed by a number of different machines or processing elements on an as-needed basis. Two protocols, CXL and OMI, are being leveraged to simplify thes... » read more

Mapping Transformation Enabled High-Performance and Low-Energy Memristor-Based DNNs


Abstract: "When deep neural network (DNN) is extensively utilized for edge AI (Artificial Intelligence), for example, the Internet of things (IoT) and autonomous vehicles, it makes CMOS (Complementary Metal Oxide Semiconductor)-based conventional computers suffer from overly large computing loads. Memristor-based devices are emerging as an option to conduct computing in memory for DNNs to make... » read more

1.6 Tb/s Ethernet Challenges


Moving data at blazing fast speeds sounds good in theory, but it raises a number of design challenges. John Swanson, senior product marketing manager for high-performance computing digital IP at Synopsys, talks about the impact of next-generation Ethernet on switches, the types of data that need to be considered, the causes of data growth, and the size and structure of data centers, both in the... » read more

GDDR6 Memory On The Leading Edge


With the accelerating growth in data traffic, it is unsurprising that the number of hyperscale data centers keeps rocketing skyward. According to analysts at the Synergy Research Group, in nine months (Q2’20 to Q1’21), 84 new hyperscale data centers came online bringing the total worldwide to 625. Hyperscaler capex set a record $150B over the last four quarters eclipsing the $121B spent in ... » read more

Securing Server Systems And Data At The Hardware Level


Across the global internet, there’s a growing need to secure data, not only coursing over the network, but within the servers in data centers and deployed at the edge. Interconnect technologies such as Compute Express Link (CXL) will enable future servers to be disaggregated into composable resources that can be finely matched to the requirements of varied workloads and support virtualized co... » read more

Interconnects In A Domain-Specific World


Moving data around is probably the least interesting aspect of system design, but it is one of three legs that defines the key performance indicators (KPI) for a system. Computation, memory, and interconnect all need to be balanced. Otherwise, resources are wasted and performance is lost. The problem is that the interconnect is rarely seen as a contributor to system functionality. It is seen... » read more

Data Overload In The Data Center


Dealing with increasing volumes of data inside of data centers requires an understanding of architectures, the flow of data between memory and processors, bandwidth, cache coherency and new memory types and interfaces. Gary Ruggles, senior product marketing manager at Synopsys, talks about how these systems are being revamped to improve performance and reduce power. » read more

The Impact Of 5G On Silicon Design


5G, the next-generation of mobile broadband, is driving tremendous increases in data throughput for mobile applications by introducing carrier aggregation, massive MIMO, advanced modulation, and high bandwidth channels in the mmWave spectrum. However, 5G and its governing body, 3GPP, has very high expectations to expand its capabilities well beyond the mobile market, and move into many new area... » read more

Hyperscale And Edge Computing: The What, Where And How


We hear a lot about “edge computing” these days. We are approaching an era in which unfathomable amounts of data are created, which need to be transmitted, stored, processed and made sense of. As we are witnessing never-before-seen scaling in all those domains, the term “hyperscale” computing has been invented. But what about the edge? As it turns out, the definition seems to have chang... » read more

AI Inference Acceleration


Geoff Tate, CEO of Flex Logix, talks about considerations in choosing an AI inference accelerator, how that fits in with other processing elements on a chip, what tradeoffs are involved with reducing latency, and what considerations are the most important. » read more

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