MonetDB/X100: Hyper-Pipelining Query Execution Peter Boncz, Marcin Zukowski, Niels Nes CWI Kruislaan 413 Amsterdam, The Netherlands {P.Boncz,M.Zukowski,N.Nes}@cwi.nl

Source URL: www-db.cs.wisc.edu

• Central processing unit
• Relational database management systems
• Instruction set architectures
• Cross-platform software
• MonetDB
• Structured storage
• Column-oriented DBMS
• Pipeline
• CPU cache
• Optimizing compiler
• Vector processor
• Reduced instruction set computing

Just-In-Time Software Pipelining Hongbo Rong Youfeng Wu Hyunchul Park

Source URL: cgo.org

• Compiler optimizations
• Computing
• Software pipelining
• Software
• Loop optimization
• Bc
• Loop dependence analysis
• Instruction-level parallelism

CMSC 611: Advanced Computer Architecture Pipelining & Instruction Level Parallelism Some material adapted from Mohamed Younis, UMBC CMSC 611 Spr 2003 course slides Some material adapted from Hennessy & Patterson / © 200

Source URL: www.csee.umbc.edu

An Overview of Static Pipelining Ian Finlaysony , Gang-Ryung Uhz , David Whalleyy and Gary Tysony y Department of Computer Science z Department of Computer Science

Source URL: www.cs.fsu.edu

• Central processing unit
• Compiler optimizations
• Instruction set architectures
• Classes of computers
• Software pipelining
• Instruction pipeline
• MIPS architecture
• Reduced instruction set computing
• Transport triggered architecture
• Computer architecture
• Computer engineering
• Computer hardware

Improving Low Power Processor Efficiency with Static Pipelining Ian Finlayson† , Gang-Ryung Uh‡ , David Whalley† and Gary Tyson† † ‡

Source URL: www.cs.fsu.edu

• Central processing unit
• Compiler optimizations
• Classes of computers
• Instruction set architectures
• Software pipelining
• Instruction pipeline
• Reduced instruction set computing
• MIPS architecture
• Microarchitecture
• Computer architecture
• Computing
• Computer engineering

Automatically Generating Coarse Grained Software Pipelining from Declaratively Specified Communication Nilesh Mahajan* Sajith Sasidharan*

Source URL: www.hipc.org

• Parallel computing
• Compiler optimizations
• Actor model
• Software pipelining
• Futures and promises
• Very long instruction word
• Type system
• Central processing unit
• Programming language
• Computing
• Software engineering
• Programming language theory

Swing Modulo Scheduling for GCC Mostafa Hagog IBM Research Lab in Haifa Ayal Zaks IBM Research Lab in Haifa

Source URL: gcc.cybermirror.org

• Programming language implementation
• Instruction scheduling
• Software pipelining
• Scheduling
• GNU Compiler Collection
• Parallel computing
• Static single assignment form
• Assembly language
• Software
• Compiler optimizations
• Computing

2010 Paper 5 Question 3 Computer Design (a) Pipelining is used to improve processor performance and yet it increases instruction execution latency. How does pipelining improve performance? [4 marks]

Source URL: www.cl.cam.ac.uk

Optimizing Software Data Prefetches with Rotating Registers Gautam Doshi Intel Corporation 2200, Mission College Blvd Santa Clara, CA 95052

Source URL: research.ac.upc.edu

• Computer hardware
• Computer memory
• Software pipelining
• AMD 10h
• Loop unwinding
• CPU cache
• Branch predication
• Explicitly parallel instruction computing
• Compiler optimizations
• Computing
• Computer architecture

Comparing and Combining Read Miss Clustering and Software Prefetching


Source URL: research.ac.upc.edu

• Software pipelining
• CPU cache
• Cache
• Parallel computing
• Instruction-level parallelism
• Computer engineering
• Computer hardware
• Computer memory
• Computing