Daniel A. Jiménez

	2009
23		Renée St. Amant, Daniel A. Jiménez, Doug Burger: Mixed-Signal Approximate Computation: A Neural Predictor Case Study. IEEE Micro 29(1): 104-115 (2009)
22		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)
21		Daniel A. Jiménez: Generalizing neural branch prediction. TACO 5(4): (2009)
	2008
20		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
19		Renée St. Amant, Daniel A. Jiménez, Doug Burger: Low-power, high-performance analog neural branch prediction. MICRO 2008: 447-458
18		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
17		Chunling Hu, Daniel A. Jiménez, Ulrich Kremer: Efficient Program Power Behavior Characterization. HiPEAC 2007: 183-197
16		Miquel Pericàs, Adrián Cristal, Francisco J. Cazorla, Ruben Gonzalez, Daniel A. Jiménez, Mateo Valero: A Flexible Heterogeneous Multi-Core Architecture. PACT 2007: 13-24
15		Chunling Hu, Daniel A. Jiménez, Ulrich Kremer: An evaluation infrastructure for power and energy optimisations. IJES 3(1/2): 31-42 (2007)
	2006
14		Miquel Pericàs, Adrián Cristal, Ruben Gonzalez, Daniel A. Jiménez, Mateo Valero: A decoupled KILO-instruction processor. HPCA 2006: 53-64
13		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
12		Chunling Hu, Daniel A. Jiménez, Ulrich Kremer: Toward an Evaluation Infrastructure for Power and Energy Optimizations. IPDPS 2005
11		Daniel A. Jiménez: Piecewise Linear Branch Prediction. ISCA 2005: 382-393
10		Daniel A. Jiménez: Code placement for improving dynamic branch prediction accuracy. PLDI 2005: 107-116
9		Miquel Pericàs, Adrián Cristal, Ruben Gonzalez, Daniel A. Jiménez: Chained In-Order/Out-of-Order DoubleCore Architecture. SBAC-PAD 2005: 209-217
8		Daniel A. Jiménez: Improved latency and accuracy for neural branch prediction. ACM Trans. Comput. Syst. 23(2): 197-218 (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	[19] [23]
2	Ravi V. Batchu	[7]
3	Doug Burger	[19] [23]
4	Francisco J. Cazorla	[16] [20]
5	Adrián Cristal	[9] [14] [16] [20]
6	Ruben Gonzalez	[9] [14] [16]
7	Rubén González	[20]
8	Heather L. Hanson	[2]
9	Chunling Hu	[12] [15] [17] [22]
10	Stephen W. Keckler	[1]
11	Ulrich Kremer	[12] [15] [17] [22]
12	Calvin Lin	[1] [2] [3] [4]
13	Gabriel H. Loh	[13] [18]
14	Miquel Pericàs	[9] [14] [16] [20]
15	Mateo Valero	[14] [16] [20]
16	Alexander V. Veidenbaum	[20]

Colors in the list of coauthors