Daniel A. Jiménez

	2012
34		Samira Manabi Khan, Zhe Wang, Daniel A. Jiménez: Decoupled dynamic cache segmentation. HPCA 2012: 235-246
	2011
33		Zhe Wang, Daniel A. Jiménez: Program Interferometry. PACT 2011: 185-186
32		Yingying Tian, Daniel A. Jiménez: Sampling Temporal Touch Hint (STTH) Inclusive Cache Management Policy. PACT 2011: 209
31		Zhe Wang, Daniel A. Jiménez: Exploiting Rank Idle Time for Scheduling Last-Level Cache Writeback. PACT 2011: 210
30		Samira Manabi Khan, Daniel A. Jiménez: Decoupled Cache Segmentation: Mutable Policy with Automated Bypass. PACT 2011: 212
	2010
29		Samira Manabi Khan, Daniel A. Jiménez: Insertion policy selection using Decision Tree Analysis. ICCD 2010: 106-111
28		Samira Manabi Khan, Yingying Tian, Daniel A. Jiménez: Sampling Dead Block Prediction for Last-Level Caches. MICRO 2010: 175-186
27		Samira Manabi Khan, Daniel A. Jiménez, Doug Burger, Babak Falsafi: Using dead blocks as a virtual victim cache. PACT 2010: 489-500
	2009
26		Daniel A. Jiménez: Composite Confidence Estimators for Enhanced Speculation Control. SBAC-PAD 2009: 161-168
25		Renée St. Amant, Daniel A. Jiménez, Doug Burger: Mixed-Signal Approximate Computation: A Neural Predictor Case Study. IEEE Micro 29(1): 104-115 (2009)
24		Chunling Hu, Daniel A. Jiménez, Ulrich Kremer: Combining Edge Vector and Event Counter for Time-Dependent Power Behavior Characterization. T. HiPEAC 2: 85-104 (2009)
23		Daniel A. Jiménez: Generalizing neural branch prediction. TACO 5(4): (2009)
	2008
22		Miquel Pericàs, Adrián Cristal, Francisco J. Cazorla, Rubén González, Alexander V. Veidenbaum, Daniel A. Jiménez, Mateo Valero: A Two-Level Load/Store Queue Based on Execution Locality. ISCA 2008: 25-36
21		Renée St. Amant, Daniel A. Jiménez, Doug Burger: Low-power, high-performance analog neural branch prediction. MICRO 2008: 447-458
20		Gabriel H. Loh, Daniel A. Jiménez: Modulo Path History for the Reduction of Pipeline Overheads in Path-based Neural Branch Predictors. International Journal of Parallel Programming 36(2): 267-286 (2008)
	2007
19		Chunling Hu, Daniel A. Jiménez, Ulrich Kremer: Efficient Program Power Behavior Characterization. HiPEAC 2007: 183-197
18		Miquel Pericàs, Adrián Cristal, Francisco J. Cazorla, Ruben Gonzalez, Daniel A. Jiménez, Mateo Valero: A Flexible Heterogeneous Multi-Core Architecture. PACT 2007: 13-24
17		Chunling Hu, Daniel A. Jiménez, Ulrich Kremer: An evaluation infrastructure for power and energy optimisations. IJES 3(1/2): 31-42 (2007)
	2006
16		Miquel Pericàs, Adrián Cristal, Ruben Gonzalez, Daniel A. Jiménez, Mateo Valero: A decoupled KILO-instruction processor. HPCA 2006: 53-64
15		Daniel A. Jiménez, Gabriel H. Loh: Controlling the Power and Area of Neural Branch Predictors for Practical Implementation in High-Performance Processors. SBAC-PAD 2006: 55-62
	2005
14		Chunling Hu, Daniel A. Jiménez, Ulrich Kremer: Toward an Evaluation Infrastructure for Power and Energy Optimizations. IPDPS 2005
13		Daniel A. Jiménez: Piecewise Linear Branch Prediction. ISCA 2005: 382-393
12		Miquel Pericàs, Adrián Cristal, Rubén González, Daniel A. Jiménez, Mateo Valero: Exploiting Execution Locality with a Decoupled Kilo-Instruction Processor. ISHPC 2005: 56-67
11		Daniel A. Jiménez: Code placement for improving dynamic branch prediction accuracy. PLDI 2005: 107-116
10		Miquel Pericàs, Adrián Cristal, Ruben Gonzalez, Daniel A. Jiménez: Chained In-Order/Out-of-Order DoubleCore Architecture. SBAC-PAD 2005: 209-217
9		Daniel A. Jiménez: Improved latency and accuracy for neural branch prediction. ACM Trans. Comput. Syst. 23(2): 197-218 (2005)
8		Chunling Hu, John B. P. McCabe, Daniel A. Jiménez, Ulrich Kremer: The Camino Compiler infrastructure. SIGARCH Computer Architecture News 33(5): 3-8 (2005)
	2004
7		Ravi V. Batchu, Daniel A. Jiménez: Exploiting Procedure Level Locality to Reduce Instruction Cache Misses. Interaction between Compilers and Computer Architectures 2004: 75-84
	2003
6		Daniel A. Jiménez: Reconsidering Complex Branch Predictors. HPCA 2003: 43-52
5		Daniel A. Jiménez: Fast Path-Based Neural Branch Prediction. MICRO 2003: 243-252
	2002
4		Daniel A. Jiménez, Calvin Lin: Neural methods for dynamic branch prediction. ACM Trans. Comput. Syst. 20(4): 369-397 (2002)
	2001
3		Daniel A. Jiménez, Calvin Lin: Dynamic Branch Prediction with Perceptrons. HPCA 2001: 197-206
2		Daniel A. Jiménez, Heather L. Hanson, Calvin Lin: Boolean Formula-Based Branch Prediction for Future Technologies. IEEE PACT 2001: 97-106
	2000
1		Daniel A. Jiménez, Stephen W. Keckler, Calvin Lin: The impact of delay on the design of branch predictors. MICRO 2000: 67-76

Coauthor Index

1	Renée St. Amant	[21] [25]
2	Ravi V. Batchu	[7]
3	Doug Burger	[21] [25] [27]
4	Francisco J. Cazorla (Francisco J. Cazorla-Almeida)	[18] [22]
5	Adrián Cristal	[10] [12] [16] [18] [22]
6	Babak Falsafi	[27]
7	Rubén González	[12] [22]
8	Ruben Gonzalez	[10] [16] [18]
9	Heather L. Hanson	[2]
10	Chunling Hu	[8] [14] [17] [19] [24]
11	Stephen W. Keckler	[1]
12	Samira Manabi Khan	[27] [28] [29] [30] [34]
13	Ulrich Kremer	[8] [14] [17] [19] [24]
14	Calvin Lin	[1] [2] [3] [4]
15	Gabriel H. Loh	[15] [20]
16	John B. P. McCabe	[8]
17	Miquel Pericàs	[10] [12] [16] [18] [22]
18	Yingying Tian	[28] [32]
19	Mateo Valero	[12] [16] [18] [22]
20	Alexander V. Veidenbaum	[22]
21	Zhe Wang	[31] [33] [34]

Colors in the list of coauthors

Last update Fri Jun 1 15:44:53 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page