Civil Rights
Movements, leaders, victories and the continuing fight for equality.
Explore the people, places, events, achievements, struggles and stories that shaped our journey.
Movements, leaders, victories and the continuing fight for equality.
Innovation, patents, science, technology and world-changing contributions.
Pioneers, champions, Negro Leagues, records, activism and excellence.
Meet the people whose lives, choices and achievements shaped the journey.
Black towns, communities, institutions and places where history happened.
Moments that changed communities, movements, institutions and the nation.
In August 1908, a white mob attacked Springfield, Illinois’s Black community, destroying homes and businesses and lynching two Black men. National outrage over the violence helped spur the movement that created the NAACP the following year.
MORE →Reflects the personal views, recollections, and perspective of the author, Mike Davis.
This is a personal recollection on the Move fire on May 13, 1985
This article needs more citations. (December 2021) |
Static timing analysis (STA) is a simulation method of computing the expected timing of a synchronous digital circuit without requiring full circuit-simulation.
High-performance integrated circuits have traditionally been characterized by the clock frequency at which they operate. Measuring the ability of a circuit to operate at the specified speed requires an ability to measure, during the design process, its delay at numerous steps. Moreover, delay calculation must be incorporated into the inner loop of timing optimizers at various phases of design, such as logic synthesis, layout (placement and routing), and in in-place optimizations performed late in the design cycle. While such timing measurements can theoretically be performed using a rigorous circuit simulation, such an approach is liable to be too slow to be practical. Static timing analysis plays a vital role in facilitating the fast and reasonably accurate measurement of circuit timing. The speedup comes from the use of simplified timing models and by mostly ignoring logical interactions in circuits.[1] This has become a mainstay of design over the last few decades.
One of the earliest descriptions of a static timing approach was based on the Program Evaluation and Review Technique (PERT), in 1966.[2] More modern versions and algorithms appeared in the early 1980s.[3][4][5]
In a synchronous digital system, data is supposed to move in "lockstep", advancing one stage on each tick of the clock signal. This is enforced by synchronizing elements such as flip-flops or latches, which copy their input to their output when instructed to do so by the clock. Only two kinds of timing errors are possible in such a system:
The time when a signal arrives can vary due to many reasons. The input data may vary, the circuit may perform different operations, the temperature and voltage may change, and there are manufacturing differences in the exact construction of each part.
Prior to the development of static timing analysis, the allowable clock rates for a system were determined heuristically. Engineers would guess which paths were longest (there were too many paths to evaluate exhaustively), write test vectors that would exercise that path, and then verify their estimates by testing chips to see how fast they could run. This procedure had several disadvantages - the proposed critical path might not be real one, it was hard to account for process variation, and there was no verification of hold time constraints. Static timing analysis addresses these issues.
The main goal of static timing analysis is to verify that despite these possible variations, all signals will arrive neither too early nor too late, and hence proper circuit operation can be assured. Since STA is capable of verifying every path, it can detect other problems like glitches, slow paths and clock skew.
In STA, identifying the critical path involves analyzing the longest topological path through a logic network. However, not all topological paths are functionally feasible, as some paths may never be activated by any valid input combination. These are referred to as false paths, and if not excluded, they can lead to overestimation of timing delays.
False paths can be classified as single-cycle or multi-cycle paths.[7] A multi-cycle path does not require data to propagate within a single clock cycle. For instance, control signals such as reset often take multiple cycles to complete their function.[8] If such signals are incorrectly treated as part of the critical path, they can distort timing results by suggesting stricter timing requirements than necessary.
Delay models define the propagation delay of logic gates in digital circuits. In the context of Static Timing Analysis (STA), delay models are essential for estimating signal arrival times and verifying timing constraints. Given that modern integrated circuits can include millions of gates, delay models should balance between computational efficiency and modelling accuracy. Common delay models used in STA include:
The unit delay model assumes that every gate has a fixed delay of one time unit. This is the simplest abstraction and is typically used for early-stage design validation or educational purposes where modeling simplicity is prioritized over accuracy.
The constant delay model assigns fixed propagation delays to each type of logic gate. Unlike the unit delay model, it reflects differences in gate behavior and can be adapted for either technology-dependent or technology-independent timing analysis.[9][10] It remains one of the most widely used models in both academic studies and commercial tools for its simplicity and practicality.
Pin-to-pin delay models specify the propagation delay between specific input and output pins of a cell. This approach allows timing to be estimated without detailed gate-level netlists, which improves simulation speed and modeling flexibility. Pin-to-pin delay also decouples timing analysis from the underlying circuit implementation, making it suitable for high-level synthesis and abstract design representations.[11]
Process, Voltage, and Temperature (PVT) variations affect gate delays significantly. PVT corner-based models represent delays under extreme conditions (e.g., worst-case slow process and low voltage) to ensure robustness. Each corner represents a specific combination of PVT parameters. STA tools evaluate timing across multiple corners to guarantee correct functionality under all expected operating conditions.
Quite often, designers will want to qualify their design across many conditions. Behavior of an electronic circuit is often dependent on various factors in its environment like temperature or local voltage variations. In such a case either STA needs to be performed for more than one such set of conditions, or STA must be prepared to work with a range of possible delays for each component, as opposed to a single value.
With proper techniques, the patterns of condition variations are characterized and their extremes are recorded. Each extreme condition can be termed as a corner. Extremes in cell characteristics can be considered as ‘process, voltage and temperature (PVT) corners’ and extremes in net characteristics can be considered as ‘extraction corners’. Then each combination pattern of PVT extraction corners is referred to as a ‘timing corner’ as it represents a point where timing will be extreme. If the design works at each extreme condition, then under the assumption of monotonic behavior, the design is also qualified for all intermediate points.
The use of corners in static timing analysis has several limitations. It may be overly optimistic, since it assumes perfect tracking: if one gate is fast, all gates are assumed fast, or if the voltage is low for one gate, it is also low for all others. Corners may also be overly pessimistic, for the worst case corner may seldom occur. In an IC, for example, it may not be rare to have one metal layer at the thin or thick end of its allowed range, but it would be very rare for all 10 layers to be at the same limit, since they are manufactured independently. Statistical static timing analysis replaces delays with distributions, and tracking with correlation, and offers a more sophisticated approach to the same problem.
Traditional (deterministic) delay models assume fixed values, which cannot capture the process variations that occur across a die. These variations can significantly impact timing, especially in advanced manufacturing nodes. Statistical delay models address this by representing delays using statistical parameters such as mean and variance. This enables a more realistic analysis of worst-case and typical-case timing paths.[12] More details about statistical delay models are introduced in statistical static timing analysis (SSTA).[13]
In static timing analysis, the word static alludes to the fact that this timing analysis is carried out in an input-independent manner, and purports to find the worst-case delay of the circuit over all possible input combinations. The computational efficiency (linear in the number of edges in the graph) of such an approach has resulted in its widespread use, even though it has some limitations. A method that is commonly referred to as PERT is popularly used in STA. However, PERT is a misnomer, and the so-called PERT method discussed in most of the literature on timing analysis refers to the critical path method (CPM)[14] that is widely used in project management. While the CPM-based methods are the dominant ones in use today, other methods for traversing circuit graphs, such as depth-first search, have been used by various timing analyzers.
Many of the common problems in chip designing are related to interface timing between different components of the design. These can arise because of many factors including incomplete simulation models, lack of test cases to properly verify interface timing, requirements for synchronization, incorrect interface specifications, and lack of designer understanding of a component supplied as a 'black box'. There are specialized CAD tools designed explicitly to analyze interface timing, just as there are specific CAD tools to verify that an implementation of an interface conforms to the functional specification (using techniques such as model checking).
{{cite journal}}: Cite uses deprecated parameter |citeseerx= (help)
{{cite journal}}: CS1 maint: multiple names: authors list (link)
Source: Wikipedia. Article content is retrieved live through the MediaWiki API.
Static timing analysis (STA) is a simulation method of computing the expected timing of a synchronous digital circuit without requiring full circuit-simulation. High-performance integrated circuits have traditionally been characterized by the clock frequency at which they operate. Measuring the ability of a circuit to operate at the specified speed requires an ability to measure, during the design process, its delay at numerous steps. Moreover, delay calculation must be incorporated into the inner loop of timing optimizers at various phases of design, such as logic synthesis, layout (placement and routing), and in in-place optimizations performed late in the design cycle. While such timing measurements can theoretically be performed using a rigorous circuit simulation, such an approach is liable to be too slow to be practical. Static timing analysis plays a vital role in facilitating the fast and reasonably accurate measurement of circuit timing. The speedup comes from the use of simplified timing models and by mostly ignoring logical interactions in circuits. This has become a mainstay of design over the last few decades. One of the earliest descriptions of a static timing approach was based on the Program Evaluation and Review Technique (PERT), in 1966. More modern versions and algorithms appeared in the early 1980s.
Conventional static timing analysis (STA) has been a stock analysis algorithm for the design of digital circuits since the 1960s. However the increased variation in semiconductor devices and interconnect has introduced a number of issues that cannot be handled by traditional (deterministic) STA. This has led to considerable research into statistical static timing analysis, which replaces the normal deterministic timing of gates and interconnects with probability distributions, and gives a distribution of possible circuit outcomes rather than a single outcome.
Timing analysis may refer to: Static timing analysis, a simulation method which computes the expected timing of a synchronous digital circuit Dynamic timing analysis Statistical static timing analysis
Dynamic timing verification is a verification that an ASIC design is fast enough to run without errors at the targeted clock rate. This is accomplished by simulating the design files used to synthesize the integrated circuit (IC) design. This is in contrast to static timing analysis, which has a similar goal as dynamic timing verification except it does not require simulating the real functionality of the IC. Hobbyists often perform a type of dynamic timing verification when they over-clock the CPUs in their computers in order to find the fastest clock rate at which they can run the CPU without errors. This is a type of dynamic timing verification that is performed after the silicon is manufactured. In the field of ASIC design, this timing verification is preferably performed before manufacturing the IC in order to make sure that IC works under the required conditions before mass production of the IC.
Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.
MORE →The Greenwood District.