Concurrent Cache-Oblivious B-Trees
... updated. Unfortunately, in the CO model it is difficult to determine the correct granularity at which to acquire locks because the block size is unknown. Locking too small a region may result in deadlock; locking too large a region may result in poor concurrency. Second, in most database and file-sy ...
... updated. Unfortunately, in the CO model it is difficult to determine the correct granularity at which to acquire locks because the block size is unknown. Locking too small a region may result in deadlock; locking too large a region may result in poor concurrency. Second, in most database and file-sy ...
Chapter I
... massive data storage. Such major storage requirements cannot be handled efficiently by thousands of simple data type variables, each storing a single value. You will need more sophisticated data types. It can be argued that you have been storing multiple values inside objects since the very beginnin ...
... massive data storage. Such major storage requirements cannot be handled efficiently by thousands of simple data type variables, each storing a single value. You will need more sophisticated data types. It can be argued that you have been storing multiple values inside objects since the very beginnin ...
notes - Computer Science
... • How is an OO program organized? • Look at Driver/main( ) to see what a program is doing. • Look at the other classes to see what the program is made of (big nouns), and what it is capable of (operations) ...
... • How is an OO program organized? • Look at Driver/main( ) to see what a program is doing. • Look at the other classes to see what the program is made of (big nouns), and what it is capable of (operations) ...
Asynchronous Memory Access Chaining
... 2. Lookups might require more than N stages as the data structure is irregular (e.g., unbalanced trees or due to bucket collisions in a hash table). These cases require a bailout mechanism to complete the lookup sequentially. 3. Lookups might have a read/write dependency on each other (e.g., hash ta ...
... 2. Lookups might require more than N stages as the data structure is irregular (e.g., unbalanced trees or due to bucket collisions in a hash table). These cases require a bailout mechanism to complete the lookup sequentially. 3. Lookups might have a read/write dependency on each other (e.g., hash ta ...
Mounds: Array-Based Concurrent Priority Queues
... event simulation, networking (e.g., routing and realtime bandwidth management), graph algorithms (e.g., Dijkstra’s algorithm), and artificial intelligence (e.g., A∗ search). In these and other applications, not only is it crucial for priority queues to have low latency, but they must also offer good ...
... event simulation, networking (e.g., routing and realtime bandwidth management), graph algorithms (e.g., Dijkstra’s algorithm), and artificial intelligence (e.g., A∗ search). In these and other applications, not only is it crucial for priority queues to have low latency, but they must also offer good ...
SIP APPLICATION SERVERS & WeSIP
... • CPL stands for CALL PROCESSING LANGUAGE • XML call behaviour scripting • Protocol Agnostic • Loaded and executed in a container ...
... • CPL stands for CALL PROCESSING LANGUAGE • XML call behaviour scripting • Protocol Agnostic • Loaded and executed in a container ...
Range Queries in Non-blocking k
... involves recreating the entire path from the root to that node. After the change, the data structure has a new root, and the old version of the data structure remains accessible (via the old root). Hence, it is trivial to implement range queries in a persistent tree. However, significant downsides i ...
... involves recreating the entire path from the root to that node. After the change, the data structure has a new root, and the old version of the data structure remains accessible (via the old root). Hence, it is trivial to implement range queries in a persistent tree. However, significant downsides i ...
Chapter 24
... Design of ArrayList and LinkedList For convenience, let’s name these two classes: MyArrayList and MyLinkedList. These two classes have common operations, but different data fields. The common operations can be generalized in an interface or an abstract class. Prior to Java 8, a popular design strate ...
... Design of ArrayList and LinkedList For convenience, let’s name these two classes: MyArrayList and MyLinkedList. These two classes have common operations, but different data fields. The common operations can be generalized in an interface or an abstract class. Prior to Java 8, a popular design strate ...
Project in Computer Security 236349 Michael Kuritzky 306741638
... consists of a computer, data, or a network site that appears to be part of a network, but is actually isolated, (un)protected, and monitored, and which seems to contain information or a resource of value to attackers. In our case, the honeypot is a remote machine running an anonymizing proxy service ...
... consists of a computer, data, or a network site that appears to be part of a network, but is actually isolated, (un)protected, and monitored, and which seems to contain information or a resource of value to attackers. In our case, the honeypot is a remote machine running an anonymizing proxy service ...
Document
... You have to think about the source language, the target language and the implementation language. Strategies for implementing a compiler 1. Write it in machine code 2. Write it in a lower level language and compile it using an existing compiler 3. Write it in the same language that it compiles and b ...
... You have to think about the source language, the target language and the implementation language. Strategies for implementing a compiler 1. Write it in machine code 2. Write it in a lower level language and compile it using an existing compiler 3. Write it in the same language that it compiles and b ...
Wait-Free Linked-Lists
... counter increment are assumed to be atomic. This can be implemented by squeezing all these fields into a single word, and limiting the size of the counter and pointer, or by using a double-word compare-and-swap when the platform allows. Alternatively, one can allocate a “pointer object” containing a ...
... counter increment are assumed to be atomic. This can be implemented by squeezing all these fields into a single word, and limiting the size of the counter and pointer, or by using a double-word compare-and-swap when the platform allows. Alternatively, one can allocate a “pointer object” containing a ...
CS 3114 Data Structures and Algorithms Homework 3: Hashing 1
... Consider implementing a hash table for an application in which we will build an initial hash table by inserting a substantial collection of records. After this, we expect that the number of insertions and the number of deletions performed to be roughly the same, although there may be long runs of co ...
... Consider implementing a hash table for an application in which we will build an initial hash table by inserting a substantial collection of records. After this, we expect that the number of insertions and the number of deletions performed to be roughly the same, although there may be long runs of co ...
1 CHAPTER 2 THEORETICAL FOUNDATION 2.1 Software
... are facing, and what they want to accomplish for the next meeting. The meetings are led by a Scrum master, the team ...
... are facing, and what they want to accomplish for the next meeting. The meetings are led by a Scrum master, the team ...
Queues
... Implementation: array vs. linked list. Thread safe or not. Blocking or not. Synchronous or not: i.e. rendezvous in Ada Allow null elements or not. ...
... Implementation: array vs. linked list. Thread safe or not. Blocking or not. Synchronous or not: i.e. rendezvous in Ada Allow null elements or not. ...
Hashing
... If two cluster are only separated by one entry, then inserting one key into a cluster can merge the two clusters together. Thus, the cluster size can increase drastically by a single insertion. This means that the performance of insertion can deteriorate drastically after a single insertion. ...
... If two cluster are only separated by one entry, then inserting one key into a cluster can merge the two clusters together. Thus, the cluster size can increase drastically by a single insertion. This means that the performance of insertion can deteriorate drastically after a single insertion. ...
Practical Solutions for Multicore Programming
... Currently, two diverging programming methods are commonly used. The first exploits concurrency by synchronizing multiple threads based on locks. This approach is known to be a double-edged sword: on the one hand, locks give the programmer a fine-grained way to control the application’s critical sect ...
... Currently, two diverging programming methods are commonly used. The first exploits concurrency by synchronizing multiple threads based on locks. This approach is known to be a double-edged sword: on the one hand, locks give the programmer a fine-grained way to control the application’s critical sect ...
ダウンロード - Brocade
... The openness and excellence of the core design of the OpenDaylight controller makes it the most promising SDN controller framework on the market. Brocade brings to this framework the needed applications, support, services, and education ecosystem to help user organizations get started with building ...
... The openness and excellence of the core design of the OpenDaylight controller makes it the most promising SDN controller framework on the market. Brocade brings to this framework the needed applications, support, services, and education ecosystem to help user organizations get started with building ...
Document
... top cannot be performed if the stack is empty Attempting the execution of pop or top on an empty stack throws an ...
... top cannot be performed if the stack is empty Attempting the execution of pop or top on an empty stack throws an ...
Notes for Lecture 3 (ppt file)
... given in Queue.java. Write a main method to have a Queue with the operations on side 4 of lecture 3. Hint: Please look at ArrayStack.java as well as NodeQueue.java. (Hand in during the lecture or drop a hard copy in Mail Box 75 at Floor 6 (Lift 9) outside CS Dept.) Bonus: (Will add 1 point in the fi ...
... given in Queue.java. Write a main method to have a Queue with the operations on side 4 of lecture 3. Hint: Please look at ArrayStack.java as well as NodeQueue.java. (Hand in during the lecture or drop a hard copy in Mail Box 75 at Floor 6 (Lift 9) outside CS Dept.) Bonus: (Will add 1 point in the fi ...
Linked Lists
... num = console.nextInt(); first = null; while (num != -999) { newNode = new Node(); // create a node newNode.info = num; // store the data in newNode newNode.link = first; // put newNode at front of list first = newNode; // update the head of the list num = console.nextInt(); // get the next number ...
... num = console.nextInt(); first = null; while (num != -999) { newNode = new Node(); // create a node newNode.info = num; // store the data in newNode newNode.link = first; // put newNode at front of list first = newNode; // update the head of the list num = console.nextInt(); // get the next number ...
A Methodology for Implementing Highly Concurrent Data Structures
... while more efficient than the consensusbased construction, is still not entirely practical, as each operation may require multiple scans of all of memory. The universal constructions presented here are simpler and more efficient than earlier constructions, primarily because compare&swap seems to be ...
... while more efficient than the consensusbased construction, is still not entirely practical, as each operation may require multiple scans of all of memory. The universal constructions presented here are simpler and more efficient than earlier constructions, primarily because compare&swap seems to be ...
Lists and the Collection Interface
... Comparison of Iterator and ListIterator • ListIterator is a subinterface of Iterator; classes that implement ListIterator provide all the capabilities of both • Iterator interface requires fewer methods and can be used to iterate over more general data structures • Iterator is required by the Colle ...
... Comparison of Iterator and ListIterator • ListIterator is a subinterface of Iterator; classes that implement ListIterator provide all the capabilities of both • Iterator interface requires fewer methods and can be used to iterate over more general data structures • Iterator is required by the Colle ...
Powerpoint Slides
... » certain Java statements » methods from class libraries » explicit use of the throw statement An exception can be thrown in either » a try block, or » a method definition without a try block, but in this case the call to the method must be placed inside a try block Java: an Introduction to Computer ...
... » certain Java statements » methods from class libraries » explicit use of the throw statement An exception can be thrown in either » a try block, or » a method definition without a try block, but in this case the call to the method must be placed inside a try block Java: an Introduction to Computer ...
Hash Tables
... 5. Problems in which the data does not have unique keys. Open-addressed hash tables cannot be used if the data does not have unique keys. An alternative is use separate-chained hash tables. ...
... 5. Problems in which the data does not have unique keys. Open-addressed hash tables cannot be used if the data does not have unique keys. An alternative is use separate-chained hash tables. ...