Chapter
Chapter One: A New Course on R&D Project Management in Computer Science and Engineering: Subjects Taught, Rationales Behi ...
1.1. Before the Project Starts
1.2. Immediately After the Project Starts
1.3. When the Project Is Close to Its End
1.4. Soon After the Product Ends
1.5. Soon After the Project Is Over
1.6. Long After the Project Is Over
1.7. An Introductory Remark
2. Part 1: Learn How to Create a Proposal for Horizon 2020 or NSF
3. Part 2: Learn the Essence of MBA and PhD and Learn How to Prepare for the GMAT/GRE Analytical Exam
5. Part 4: Learn Project Management
6. Part 5: Learn How to Write Business Plans for Investors
7. Part 6: Learn How to Prepare a Patent Application
8. Part 7: Learn How to Write SCI Journal Papers of the Survey Type
9. Part 8: Learn How to Write SCI Journal Papers of the Research Type
10. Part 9: Learn How to Make an eShop
11. Part 10: Learn MindGenomics
12. Part 11: Learn Business Intelligence Based on DataMining
13. Part 12: Learn How to Preserve Heritage and How to Create a Brand
15.2. Who Will Benefit From the Course?
15.3. Newly Open Problems?
15.4. What Is to Remember About This Course?
Chapter Two: Advances in Dataflow Systems
2. Parallel Processor Design
3. From Multiprocessor Software to Dataflow Computing
6. Dataflow System in Cloud Computing
7. Example Application One: Sequential Monte Carlo System and Its Generationa
8. Example Application Two: Sparse Linear Algebra
8.1. Challenge: Excessive On-chip Memory Usage
8.2. Challenge: Avoiding Stalls Due to Data Access Conflicts
8.3. Challenge: Effective Use of Memory Throughput
8.4. Challenge: More Effective On-chip Data Reuse
9.3. Time Series Analysis
9.4. Computer Trading Strategies
9.5. Real-Time Proximity Query
Chapter Three: Adaptation and Evaluation of the Simplex Algorithm for a Data-Flow Architecture
2. The Maxeler Architecture
3.4. The Simplex Algorithm
4. Accelerated Simplex Algorithm
4.1. Algorithm Engineering
4.2. Streaming From the Main Memory
4.3. Concurrent Streaming From the Main Memory
4.4. Streaming From the On-chip Large Memory
4.5. Concurrent Streaming From the On-chip Large Memory
5. Experimental Evaluation
5.2. Benchmark Configuration
5.3. Host-Streamed Algorithms
5.4. LMem-Streamed Algorithms
5.6. Simplex Tableau Density
5.7. Discussion and Experimental Principles
6. Conclusions and Future Work
Chapter Four: Simple Operations in Memory to Reduce Data Movement
2.1. Integrating Processing Logic in Memory
2.2. 3D-Stacked DRAM Architectures
3. Processing Using Memory
4.1. High-Level Organization of the Memory System
4.2.1. DRAM Cell and Sense Amplifier
4.2.2. DRAM Cell Operation: The Activate--Precharge Cycle
4.2.3. DRAM MAT/Tile: The Open Bitline Architecture
4.2.5. DRAM Commands: Accessing Data From a DRAM Chip
4.2.6. DRAM Timing Constraints
5.2. Pipelined Serial Mode
5.3. Mechanism for Bulk Data Copy
5.4. Mechanism for Bulk Data Initialization
6. In-DRAM Bulk AND and OR
6.1.1. Triple-Row Activation
6.1.3. Implementation of IDAO
6.1.4. Reliability of Our Mechanism
6.1.5. Latency Optimization
7. End-to-End System Support
7.2. Processor Microarchitecture Support
7.2.1. Source/Destination Alignment and Size
7.2.2. Managing On-Chip Cache Coherence
7.3.1. Subarray-Aware Page Mapping
7.3.2. Granularity of the Operations
8.1. Latency and Energy Analysis
8.2. Applications for RowClone
8.2.1. The fork System Call
8.2.2. Copy/Initialization-Intensive Applications
8.2.3. Multicore Evaluations
8.2.4. Memory-Controller-Based DMA
8.2.5. Other Applications
8.2.5.1. Secure Deallocation
8.2.5.2. Process Checkpointing
8.2.5.3. Virtual Machine Cloning/Deduplication
8.2.5.5. CPU-GPU Communication
8.3. Applications for IDAO
8.4. Recent Works Building on RowClone and IDAO
Chapter Five: A Novel Infrastructure for Synergistic Dataflow Research, Development, Education, and Deployment: The Maxel ...
2. About the Dataflow Concept
3. About the Maxeler Technologies Mission in Education
4. About the Maxeler Technologies Approach to Dataflow
4.1. About the MaxJ Language
5. About the Methods for Accelerating Applications Using Maxeler Dataflow Technology
6. Architecting the AppGallery
7. Defining the Types of the AppGallery Users
7.4. Principal Investigator and Principal Investigator Administrator
7.5. User Administrator, Content Administrator, and Super Administrator
8. Defining the AppGallery Processes
8.1. User Registration Process
8.2. PI Registration Process
8.3. Developer Registration Process
8.4. Developer Approval Process
8.5. User & PI Approval Process
8.6. App Submission Process
9. Implementation Details
Advances in Computers
( Volume 106 )
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