Race Car Game Race Car Game Race Car Game

[Leontina Heidgerken]

Forthe racer who has a need for speed AND is a previous customer of NASCAR Racing Experience. To participate in the Advanced Experience, you must have completed the Track Time 32 Minute, 40 Minute or 48 Minute experience.

American Anthropological Association states that "the 'racial' worldview was invented to assign some groups to perpetual low status, while others were permitted access to privilege, power, and wealth. The tragedy in the United States has been that the policies and practices stemming from this worldview succeeded all too well in constructing unequal populations among Europeans, Native Americans, and peoples of African descent." To understand more about race as a social construct in the United States, read the AAPA statement on race and racism.

Understanding how our identities and experiences have been shaped by race is vital. We are all awarded certain privileges and or disadvantages because of our race whether or not we are conscious of it.

The concept of race is intimately connected to our lives and has serious implications. It operates in real and definitive ways that confer benefits and privileges to some and withholds them from others. Ignoring race means ignoring the establishment of racial hierarchies in society and the injustices these hierarchies have created and continue to reinforce.

Racism is a system of advantage based on race that involves systems and institutions, not just individual mindsets and actions. The critical variable in racism is the impact (outcomes) not the intent and operates at multiple levels including individual racism, interpersonal racism, institutional racism, and structural racism.

The Delta Dental Mount Washington Road Race supports local healthcare in the rural areas of northern New Hampshire. Each year the race makes a charitable donation to the dental division of Cos County Family Health Services through sponsorship by Delta Dental. Since 2012, donations total over 200k!

More than 75% of death row defendants who have been executed were sentenced to death for killing white victims, even though in society as a whole about half* of all homicide victims are African American.

The federal government counts some categories, such as Hispanics, as an ethnic group rather than a race. DPIC refers to all groups as races because the sources for much of our information use these categories.

In 82% of the studies [reviewed], race of the victim was found to influence the likelihood of being charged with capital murder or receiving the death penalty, i.e., those who murdered whites were found more likely to be sentenced to death than those who murdered blacks.

The definition of a data race is pretty clear, and therefore, its discovery can be automated. A data race occurs when 2 instructions from different threads access the same memory location, at least one of these accesses is a write and there is no synchronization that is mandating any particular order among these accesses.

A race condition is a semantic error. It is a flaw that occurs in the timing or the ordering of events that leads to erroneous program behavior. Many race conditions can be caused by data races, but this is not necessary.

In this example, the writes to x from thread 1 and 2 are protected by locks, therefore they are always happening in some order enforced by the order with which the locks are acquired at runtime. That is, the writes' atomicity cannot be broken; there is always a happens-before relationship between the two writes in any execution. We just cannot know which write happens before the other a priori.

There is no fixed ordering between the writes, because locks cannot provide this. If the programs' correctness is compromised, say when the write to x by thread 2 is followed by the write to x in thread 1, we say there is a race condition, although technically there is no data race.

According to Wikipedia, the term "race condition" has been in use since the days of the first electronic logic gates. In the context of Java, a race condition can pertain to any resource, such as a file, network connection, a thread from a thread pool, etc.

Since i is volatile, there is no data race; however, from the program correctness standpoint there is a race condition due to the non-atomicity of the two operations: read i, write i+1. Multiple threads may receive the same value from uniqueInt.

TL;DR: The distinction between data race and race condition depends on the nature of problem formulation, and where to draw the boundary between undefined behavior and well-defined but indeterminate behavior. The current distinction is conventional and best reflects the interface between processor architect and programming language.

Data race specifically refers to the non-synchronized conflicting "memory accesses" (or actions, or operations) to the same memory location. If there is no conflict in the memory accesses, while there is still indeterminate behavior caused by operation ordering, that is a race condition.

Note "memory accesses" here have specific meaning. They refer to the "pure" memory load or store actions, without any additional semantics applied. For example, a memory store from one thread does not (necessarily) know how long it takes for the data to be written into the memory, and finally propagates to another thread. For another example, a memory store to one location before another store to another location by the same thread does not (necessarily) guarantee the first data written in the memory be ahead of the second. As a result, the order of those pure memory accesses are not (necessarily) able to be "reasoned" , and anything could happen, unless otherwise well defined.

When the "memory accesses" are well defined in terms of ordering through synchronization, additional semantics can ensure that, even if the timing of the memory accesses are indeterminate, their order can be "reasoned" through the synchronizations. Note, although the ordering between the memory accesses can be reasoned, they are not necessarily determinate, hence the race condition.

But if the order is still indeterminate in race condition, why bother to distinguish it from data race? The reason is in practical rather than theoretical. It is because the distinction does exist in the interface between the programming language and processor architecture.

A memory load/store instruction in modern architecture is usually implemented as "pure" memory access, due to the nature of out-of-order pipeline, speculation, multi-level of cache, cpu-ram interconnection, especially multi-core, etc. There are lots of factors leading to indeterminate timing and ordering. To enforce ordering for every memory instruction incurs huge penalty, especially in a processor design that supports multi-core. So the ordering semantics are provided with additional instructions like various barriers (or fences).

Data race is the situation of processor instruction execution without additional fences to help reasoning the ordering of conflicting memory accesses. The result is not only indeterminate, but also possibly very weird, e.g., two writes to the same word location by different threads may result with each writing half of the word, or may only operate upon their locally cached values. -- These are undefined behavior, from the programmer's point of view. But they are (usually) well defined from the processor architect's point of view.

Programmers have to have a way to reason their code execution. Data race is something they cannot make sense, therefore should always avoid (normally). That is why the language specifications that are low level enough usually define data race as undefined behavior, different from the well-defined memory behavior of race condition.

Different processors may have different memory access behavior, i.e., processor memory model. It is awkward for programmers to study the memory model of every modern processor and then develop programs that can benefit from them. It is desirable if the language can define a memory model so that the programs of that language always behave as expected as the memory model defines. That is why Java and C++ have their memory models defined. It is the burden of the compiler/runtime developers to ensure the language memory models are enforced across different processor architectures.

That said, if a language does not want to expose the low level behavior of the processor (and is willing to sacrifice certain performance benefits of the modern architectures), they can choose to define a memory model that completely hide the details of "pure" memory accesses, but apply ordering semantics for all their memory operations. Then the compiler/runtime developers may choose to treat every memory variable as volatile in all processor architectures. For these languages (that support shared memory across threads), there are no data races, but may still be race conditions, even with a language of complete sequential consistence.

On the other hand, the processor memory model can be stricter (or less relaxed, or at higher level), e.g., implementing sequential consistency as early-days processor did. Then all memory operations are ordered, and no data race exists for any languages running in the processor.

Back to the original question, IMHO it is fine to define data race as a special case of race condition, and race condition at one level may become data race at a higher level. It depends on the nature of problem formulation, and where to draw the boundary between undefined behavior and well-defined but indeterminate behavior. Just the current convention defines the boundary at language-processor interface, does not necessarily mean that is always and must be the case; but the current convention probably best reflects the state-of-the-art interface (and wisdom) between processor architect and programming language.

Race condition is a situation when not synchronized blocks of code(may be the same) which use same shared resource are run simultaneously on different threads and result of which is unpredictable.

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