Proceedings of the Second International Symposium on Code Generation and Optimization
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Proceedings of the Second International Symposium on Code Generation and Optimization
CGO, 2004.

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@proceedings{CGO-2004,
	acmid         = "977395",
	address       = "San Jose, California, USA",
	ee            = "http://www.computer.org/csdl/proceedings/cgo/2004/2102/00/index.html",
	isbn          = "0-7695-2102-9",
	publisher     = "{IEEE Computer Society}",
	title         = "{Proceedings of the Second International Symposium on Code Generation and Optimization}",
	year          = 2004,
}

Contents (25 items)

CGO-2004-LukMPCL #architecture #named
Ispike: A Post-link Optimizer for the Intel®Itanium®Architecture (CKL, RM, HP, RSC, PGL), pp. 15–26.
CGO-2004-KimLWCTZWYGS #physics #thread
Physical Experimentation with Prefetching Helper Threads on Intel’s Hyper-Threaded Processors (DK, SWL, PHW, JdC, XT, XZ, HW, DY, MG, JPS), pp. 27–38.
CGO-2004-ZhaiCSM #communication #compilation #optimisation #thread
Compiler Optimization of Memory-Resident Value Communication Between Speculative Threads (AZ, CBC, JGS, TCM), pp. 39–52.
CGO-2004-DupreDT #architecture #embedded #named
VHC: Quickly Building an Optimizer for Complex Embedded Architectures (MD, ND, OT), pp. 53–64.
CGO-2004-MoonLHCLSL #framework #named #scalability
SYZYGY — A Framework for Scalable Cross-Module IPO (SM, XDL, RH, DRC, LAL, US, SML), pp. 65–74.
CGO-2004-LattnerA #compilation #framework #named #program analysis
LLVM: A Compilation Framework for Lifelong Program Analysis & Transformation (CL, VSA), pp. 75–88.
CGO-2004-HazelwoodS #optimisation
Exploring Code Cache Eviction Granularities in Dynamic Optimization Systems (KMH, JES), pp. 89–99.
CGO-2004-Adl-TabatabaiBCEFLMS #java #performance
Improving 64-Bit Java IPF Performance by Compressing Heap References (ARAT, JB, MC, ME, JF, BTL, BRM, JMS), pp. 100–110.
CGO-2004-LiGP #library #sorting
A Dynamically Tuned Sorting Library (XL, MJG, DAP), pp. 111–124.
CGO-2004-CanalGS
Software-Controlled Operand-Gating (RC, AG, JES), pp. 125–136.
CGO-2004-AlmogRSS #architecture #energy #optimisation
Specialized Dynamic Optimizations for High-Performance Energy-Efficient Microarchitecture (YA, RR, NS, AS), pp. 137–150.
CGO-2004-SmelyanskiyMD #probability #scheduling
Probabilistic Predicate-Aware Modulo Scheduling (MS, SAM, ESD), pp. 151–162.
CGO-2004-RongTGDG #multi #pipes and filters
Single-Dimension Software Pipelining for Multi-Dimensional Loops (HR, ZT, RG, AD, GRG), pp. 163–174.
CGO-2004-RongDGG #code generation #multi #pipes and filters
Code Generation for Single-Dimension Software Pipelining of Multi-Dimensional Loops (HR, AD, RG, GRG), pp. 175–188.
CGO-2004-Winkel #performance #scheduling
Exploring the Performance Potential of Itanium® Processors with ILP-based Scheduling (SW), pp. 189–200.
CGO-2004-KudlurFCRCM #heuristic #named #scheduling
FLASH: Foresighted Latency-Aware Scheduling Heuristic for Processors with Customized Datapaths (MK, KF, MLC, RAR, NC, SAM), pp. 201–212.
CGO-2004-HuS #using
Using Dynamic Binary Translation to Fuse Dependent Instructions (SH, JES), pp. 213–226.
CGO-2004-WuBQEF #predict
The Accuracy of Initial Prediction in Two-Phase Dynamic Binary Translators (YW, MBJ, JQ, OE, JF), pp. 227–238.
CGO-2004-JoshiBZ #optimisation #profiling #staged
Targeted Path Profiling: Lower Overhead Path Profiling for Staged Dynamic Optimization Systems (RJ, MDB, CBZ), pp. 239–250.
CGO-2004-TallamZG #bound #profiling
Extending Path Profiling across Loop Backedges and Procedure Boundaries (ST, XZ, RG), pp. 251–264.
CGO-2004-RastelloFG #constraints #optimisation #using
Optimizing Translation Out of SSA Using Renaming Constraints (FR, FdF, CG), pp. 265–278.
CGO-2004-DingL #compilation #reuse
A Compiler Scheme for Reusing Intermediate Computation Results (YD, ZL), pp. 279–290.
CGO-2004-SoHZ #layout #memory management #parallel
Custom Data Layout for Memory Parallelism (BS, MWH, HEZ), pp. 291–302.
CGO-2004-PanaitSW #identification
Static Identification of Delinquent Loads (VMP, AS, WFW), pp. 303–314.
CGO-2004-WuPSRCA #memory management #profiling #using
Exposing Memory Access Regularities Using Object-Relative Memory Profiling (QW, AP, AS, ER, DWC, DIA), pp. 315–324.

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